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Longer titles found: Multimodal sentiment analysis (view)

searching for Sentiment analysis 117 found (238 total)

alternate case: sentiment analysis

COVID-19 datasets (880 words) [view diff] case mismatch in snippet view article find links to article

Retrieved 2021-02-03. Ahmad, Kashif (2021). "A Benchmark Dataset for Sentiment Analysis of Users' Reviews on COVID-19 Contact Tracing Applications". Harvard
Hashtag (3,925 words) [view diff] exact match in snippet view article find links to article
cares about sarcastic tweets? Investigating the impact of sarcasm on sentiment analysis". Proceedings of the Conference on Language Resources and Evaluation
Patient experience (1,561 words) [view diff] no match in snippet view article find links to article
Patient experience describes the range of interactions that patients have with the healthcare system, including care from health plans, doctors, nurses
AlchemyAPI (668 words) [view diff] exact match in snippet view article find links to article
in natural language processing, such as semantic text analysis and sentiment analysis, as well as computer vision. AlchemyAPI offered both traditionally-licensed
Richard L. Peterson (890 words) [view diff] exact match in snippet view article find links to article
University, and is Board-certified in Psychiatry. He founded and runs the sentiment analysis firm MarketPsych Data and ran the psychology-based quantitative asset
Medoid (4,003 words) [view diff] exact match in snippet view article find links to article
by selecting the most relevant sentences from the original text. Sentiment analysis involves determining the sentiment or emotion expressed in a piece
Public opinion (5,976 words) [view diff] exact match in snippet view article find links to article
Opinion plays a vital role in uncovering some critical decisions. Sentiment analysis or opinion mining is a method used to mine the thoughts or feelings
BlogBridge (267 words) [view diff] no match in snippet view article find links to article
6.1". 26 February 2009. Retrieved 3 October 2022. "New for 6.3, Sentiment "analysis"". 10 April 2008. Archived from the original on 14 April 2008. "History
VoTT (258 words) [view diff] case mismatch in snippet view article find links to article
Source Annotation Tools for Computer Vision". www.sicara.ai. "Beyond Sentiment Analysis: Object Detection with ML.NET". September 20, 2020. "GitHub - microsoft/VoTT:
Derwent Capital Markets (269 words) [view diff] exact match in snippet view article find links to article
investment company that was a pioneer in the use of social media sentiment analysis to trade financial derivatives. Derwent Capital Market's registered
Sivaji Bandyopadhyay (771 words) [view diff] case mismatch in snippet view article find links to article
Feraco, Antonio (eds.), "Affective Computing and Sentiment Analysis", A Practical Guide to Sentiment Analysis, Socio-Affective Computing, vol. 5, Cham: Springer
NEXEN (platform) (536 words) [view diff] exact match in snippet view article
platform via an app store. An example is a third-party app that performs sentiment analysis on asset managers' portfolio holdings. NEXEN is built using API technology
David B. Fogel (1,456 words) [view diff] exact match in snippet view article find links to article
Effect Technologies, Inc., the maker of the patented EffectCheck sentiment analysis software tool. He has advised several AI companies in the areas of
Accuracy paradox (306 words) [view diff] case mismatch in snippet view article find links to article
for New Evaluation Metrics and Result Vizualization Technique for Sentiment Analysis Tasks", Information Access Evaluation. Multilinguality, Multimodality
Media monitoring (869 words) [view diff] case mismatch in snippet view article find links to article
344–358, 2009. N. Godbole,M. Srinivasaiah, S. Skiena, "Large-Scale Sentiment Analysis for News and Blogs", Int. Conf. on Weblogs and Social Media (ICWSM
Robert Plutchik (1,615 words) [view diff] exact match in snippet view article find links to article
Interaction: His emotion model has been used in AI development to improve sentiment analysis, chatbots, and affective computing, where machines recognize and respond
CB Insights (699 words) [view diff] exact match in snippet view article find links to article
Insights uses a combination of big data tools and algorithms, as well as sentiment analysis on publicly available signals to gather and analyze data about private
Net2Phone (1,189 words) [view diff] exact match in snippet view article find links to article
optimize agent and client interactions. Key functionalities include sentiment analysis, automatic call transcription, auto-generated follow-up emails, auto-generated
List of manual image annotation tools (260 words) [view diff] case mismatch in snippet view article find links to article
Source Annotation Tools for Computer Vision". www.sicara.ai. "Beyond Sentiment Analysis: Object Detection with ML.NET". September 20, 2020. "GitHub - microsoft/VoTT:
List of literary festivals (1,222 words) [view diff] exact match in snippet view article find links to article
highlights". BBC News. 2024-08-06. Retrieved 2024-08-08. Driscoll, Beth. "Sentiment analysis and the literary festival audience." Continuum 29.6 (2015): 861-873
John Barnes (author) (806 words) [view diff] exact match in snippet view article
systems analysis, business statistics, software reliability theory, sentiment analysis, statistical semiotics, and formal specification. Barnes's hometown
Order flow trading (778 words) [view diff] exact match in snippet view article find links to article
popular forms of market/trading analysis include technical analysis, sentiment analysis and fundamental analysis. Order flow trading is the process of analysing
Latent space (1,191 words) [view diff] exact match in snippet view article find links to article
like image captioning, visual question answering, and multimodal sentiment analysis. To embed multimodal data, specialized architectures such as deep
Scott Crossley (663 words) [view diff] case mismatch in snippet view article find links to article
processing tools such as Constructed Response Analysis Tool (CRAT), Sentiment Analysis and Cognition Engine (SEANCE), Simple NLP (SiNLP), Tool for the Automatic
E-khool LMS (690 words) [view diff] exact match in snippet view article find links to article
performance prediction, course recommendation, learner privacy and learner sentiment analysis. The e-KHOOL LMS system is AI-based learning platform with several
Dana Milbank (1,378 words) [view diff] exact match in snippet view article find links to article
than 200,000 articles from 65 different news sources to create a "sentiment analysis" of pro or con coverage. The comparison was done of the first 11 months
Crowd collapses and crushes (2,187 words) [view diff] exact match in snippet view article find links to article
"How crowd accidents are reported in the news media: Lexical and sentiment analysis". Safety Science. 172: 106423. arXiv:2309.14633. doi:10.1016/j.ssci
ML.NET (1,606 words) [view diff] exact match in snippet view article find links to article
machine learning with ML.NET demonstrated it is capable of training sentiment analysis models using large datasets while achieving high accuracy. Its results
NooJ (1,423 words) [view diff] exact match in snippet view article find links to article
Literature studies (for textual analysis and interpretation), in sentiment analysis projects (to assess emotional tone in written content), data mining
Timothy Jurka (257 words) [view diff] exact match in snippet view article find links to article
with Support for Semi-automated Text Classification" DataScience+ "Sentiment analysis with machine learning in R" Jurka, E. (2015). "Jerzy Jurka: June 4
Social media (21,476 words) [view diff] exact match in snippet view article find links to article
media such as Facebook, X are also combined to predict elections via sentiment analysis. Additional social media (e.g. YouTube, Google Trends) can be combined
Enterprise Vault (372 words) [view diff] case mismatch in snippet view article find links to article
Updated version of the Veritas Information Classifier Support for Sentiment Analysis using Veritas Information Classifier 14.3 2022-08-22 14.3.1 on 2022-12-07
Crowd (1,905 words) [view diff] exact match in snippet view article find links to article
"How crowd accidents are reported in the news media: Lexical and sentiment analysis". Safety Science. 172: 106423. arXiv:2309.14633. doi:10.1016/j.ssci
Manglish (Malayalam and English) (259 words) [view diff] case mismatch in snippet view article
"CIA_NITT@Dravidian-CodeMix-FIRE2020:Malayalam-English. Code Mixed Sentiment Analysis Using Sentence BERT And Sentiment Features" (PDF). ceur-ws.org. Chakravarthi
AZFinText (906 words) [view diff] case mismatch in snippet view article find links to article
59(2): 247-255. Schumaker, R., Zhang, Y. and Huang, C., (2008). Sentiment Analysis of Financial News Articles. 20th Annual Conference of International
Tun Thura Thet (670 words) [view diff] case mismatch in snippet view article find links to article
Library Science. Thet, T. T., Na, J.-C., & Shakthikumar, S. (2009) Sentiment Analysis of Movie Reviews on Discussion Boards using a Linguistic Approach
Content analysis (3,193 words) [view diff] exact match in snippet view article find links to article
analysis 21.3 (2013): 267-297. Nasukawa, Tetsuya, and Jeonghee Yi. "Sentiment analysis: Capturing favorability using natural language processing." Proceedings
HubSpot (3,055 words) [view diff] exact match in snippet view article find links to article
platform provides self-service automation, Twilio telephony, as well as "sentiment analysis and churn forecasting" and testimonial capturing, according to The
Marketing and artificial intelligence (2,655 words) [view diff] exact match in snippet view article find links to article
social networks. “ This area of study is called opinion mining or sentiment analysis. It analyzes peoples opinions, appraisals, attitudes, and emotions
Alternative data (finance) (1,698 words) [view diff] exact match in snippet view article
analysis, while social media sites reveal a host of data for consumer sentiment analysis. Alternative data can be accessed via: Web scraping (or web Harvesting
SpanishDict (510 words) [view diff] case mismatch in snippet view article find links to article
Julian Brooke; Milan Tofiloski; Maite Taboada. "Cross-Linguistic Sentiment Analysis: From English to Spanish" (PDF). aclanthology.org. Walsh, Andrew.
Popular music (6,008 words) [view diff] case mismatch in snippet view article find links to article
April 2019. Napier, Kathleen; Shamir, Leor (2018). "Quantitative Sentiment Analysis of Lyrics in Popular Music". Journal of Popular Music Studies. 30
Mika Tajima (734 words) [view diff] exact match in snippet view article find links to article
and information management. Meridian (2016), was developed using sentiment analysis and prediction technology, where the light sculpture responds in real
Robert P. Schumaker (473 words) [view diff] case mismatch in snippet view article find links to article
(2016). "Predicting Wins and Spread in the Premier League Using a Sentiment Analysis of Twitter". Decision Support Systems. 88 (8): 76–84. doi:10.1016/j
App store optimization (1,156 words) [view diff] exact match in snippet view article find links to article
estimates, metadata updates, rankings Featured Apps Ratings and reviews: Sentiment analysis ‘White hat’ ASO refers to ASO strategies that are generally accepted
Bilibili (4,570 words) [view diff] case mismatch in snippet view article find links to article
ISSN 1035-0330. Hsieh, Yen-Hao; Zeng, Xin-Ping (13 July 2022). "Sentiment Analysis: An ERNIE-BiLSTM Approach to Bullet Screen Comments". Sensors. 22
Label propagation algorithm (536 words) [view diff] case mismatch in snippet view article find links to article
Jafarlou, Minoo; Kubek, Mario M. (2024). "Reducing Labeling Costs in Sentiment Analysis via Semi-Supervised Learning". arXiv:2410.11355 [cs.LG]. Python implementation
Alexander Gelbukh (126 words) [view diff] case mismatch in snippet view article find links to article
Gelbukh Born 1962 Nationality Russian Occupation Professor Known for Sentiment Analysis, Opinion mining Academic background Education Moscow State University
SAP HANA (3,002 words) [view diff] case mismatch in snippet view article find links to article
the SAP HANA database?". Retrieved October 2, 2017. "SAP Releases Sentiment Analysis Solution - CRM Magazine". Retrieved October 2, 2017. "SAP HANA TA
Crowd psychology (4,245 words) [view diff] exact match in snippet view article find links to article
"How crowd accidents are reported in the news media: Lexical and sentiment analysis". Safety Science. 172: 106423. arXiv:2309.14633. doi:10.1016/j.ssci
Premier League (18,459 words) [view diff] exact match in snippet view article find links to article
Knopp and was done by analysing Twitter data. The researchers used sentiment analysis to measure the overall positive or negative attitudes towards VAR
Social network (7,437 words) [view diff] exact match in snippet view article find links to article
sales and brand-image. This is gauged through techniques such as sentiment analysis which rely on mathematical areas of study such as data mining and
Labuan Bajo (2,126 words) [view diff] case mismatch in snippet view article find links to article
Bajo: An Instagram-based Analysis for Tourism Insights through VADER Sentiment Analysis". G-Tech: Jurnal Teknologi Terapan. 7 (3): 967–976 (see p. 971). doi:10
Amit Sheth (3,850 words) [view diff] exact match in snippet view article find links to article
analysis of social data from the perspective of people, content, sentiment analysis and emotions. This idea led to a system called Twitris, which employs
Menthol cigarette (4,415 words) [view diff] case mismatch in snippet view article find links to article
"Perceptions of Menthol Cigarettes Among Twitter Users: Content and Sentiment Analysis". Journal of Medical Internet Research. 19 (2): e56. doi:10.2196/jmir
Violent extremism (4,002 words) [view diff] case mismatch in snippet view article find links to article
& Smeaton, Alan F. (2009). Combining Social Network Analysis and Sentiment Analysis to Explore the Potential for Online Radicalization. 2009 International
International Association for Statistical Computing (502 words) [view diff] exact match in snippet view article find links to article
Impact of the COVID-19 outbreak on Italy’s country reputation: a sentiment analysis approach 3rd Place: Author: S. A Kharroubi Title: A Bayesian nonparametric
Romani people (21,464 words) [view diff] case mismatch in snippet view article find links to article
2016. Tunay, T. (2022). The Perception of Roma in Turkish Society: A Sentiment Analysis of Tweets. Central European University. "Критичен доклад относно Преброяването
Neurodiversity (12,419 words) [view diff] case mismatch in snippet view article find links to article
2022). "Discussions of Asperger Syndrome on Social Media: Content and Sentiment Analysis on Twitter". JMIR Formative Research. 6 (3): e32752. doi:10.2196/32752
Catherine Havasi (747 words) [view diff] exact match in snippet view article find links to article
Yunqing Xia, and Catherine Havasi. "New avenues in opinion mining and sentiment analysis." IEEE Journal of Intelligent Systems 28, no. 2 (2013): 15-21. (cited
Social media use by Donald Trump (7,517 words) [view diff] case mismatch in snippet view article find links to article
Ussama (January 11, 2021). "Tweeting During the Covid-19 Pandemic: Sentiment Analysis of Twitter Messages by President Trump". Digital Government: Research
Social data analysis (767 words) [view diff] exact match in snippet view article find links to article
Sophisticated Data Analysis: what distinguishes social data analytics from sentiment analysis is the depth of the analysis. Social data analysis takes into consideration
R U OK? (1,616 words) [view diff] exact match in snippet view article find links to article
an annual day. R U OK?'s own reporting into their impact and media sentiment analysis has been criticised for its low sample size and partial capture of
Media bias (7,601 words) [view diff] exact match in snippet view article find links to article
partisan bias), and related concepts like framing effects, hate speech, sentiment analysis, and group biases (encompassing gender bias, racial bias, and religion
Enbridge (6,884 words) [view diff] exact match in snippet view article find links to article
labs use industrial predictive algorithms, machine learning, and sentiment analysis to find efficiencies within the company and help improve safety and
COVID-19 pandemic in popular culture (8,388 words) [view diff] exact match in snippet view article find links to article
Noor-ul-Asrar; Kundroo, Majid; Ahanger, Naffi; Agarwal, Basant (July 2020). "Sentiment analysis of social media response on the Covid19 outbreak". Brain, Behavior
Neural network (machine learning) (17,303 words) [view diff] exact match in snippet view article
processing, ANNs are used for tasks such as text classification, sentiment analysis, and machine translation. They have enabled the development of models
Netnography (4,672 words) [view diff] exact match in snippet view article find links to article
differentiate netnography to big-data analysis that often relies on machine (sentiment analysis, word cloud) and also to digital ethnography or digital anthropology
Jiliang Tang (443 words) [view diff] exact match in snippet view article find links to article
2013 Oct 12 (pp. 93–100). Hu X, Tang J, Gao H, Liu H. Unsupervised sentiment analysis with emotional signals. InProceedings of the 22nd international conference
Public sphere (7,744 words) [view diff] exact match in snippet view article find links to article
link between content and user engagement. Through both content and sentiment analysis, it was suggested that the sentiment of the language used in the titles
2019 United Kingdom general election (17,790 words) [view diff] exact match in snippet view article find links to article
[@Graphnile] (11 December 2019). "SNP experiencing tailwind based on sentiment analysis of tweets and news stories. SNP may get 50+ seats. #SNP #Conservatives
Wu Dao (973 words) [view diff] exact match in snippet view article find links to article
language model, was designed for tasks like open-domain answering, sentiment analysis, and grammar correction. Wu Dao – Wen Lan, a 1-billion-parameter multimodal
Moodagent (1,126 words) [view diff] exact match in snippet view article find links to article
digital advertising. Since 2017 Moodagent has been delivering AI based sentiment analysis results for pre-testing audio in adverts to the market research company
NDCRTC (642 words) [view diff] exact match in snippet view article find links to article
investigation; profiling a person/organisation & doing time analysis, sentiment analysis, trend analysis on social media. Officers of the rank SP to IGP from
Science communication (10,317 words) [view diff] exact match in snippet view article find links to article
2019). "Exploring the YouTube science communication gender gap: A sentiment analysis". Public Understanding of Science. 28 (1): 68–84. doi:10.1177/0963662518786654
Motor Vehicles Act (3,954 words) [view diff] case mismatch in snippet view article find links to article
February 2019. Retrieved 26 June 2019. Singh, N. Ajith (January 2020). "Sentiment Analysis on Motor Vehicles Amendment Act, 2019 an Initiative by Government
Project Nimbus (1,319 words) [view diff] exact match in snippet view article find links to article
facial detection, automated image categorization, object tracking & sentiment analysis – tools that have previously been used by U.S. Customs and Border
Emotion Markup Language (1,411 words) [view diff] exact match in snippet view article find links to article
existing technology that could apply EmotionML include: Opinion mining / sentiment analysis in Web 2.0, to automatically track customer's attitude regarding a
Newton Howard (1,456 words) [view diff] case mismatch in snippet view article find links to article
Wang, H. (2014). Semantic Multidimensional Scaling for Open Domain Sentiment Analysis. IEEE Intelligent Systems, 29 March/April. Poria, S., Agarwal, Basant
Sports analytics (4,330 words) [view diff] exact match in snippet view article find links to article
Robert P. "Predicting wins and spread in the Premier League using a sentiment analysis of twitter" (PDF). "Score808 | the AI Revolution in Baseball Strategy
Audio mining (2,367 words) [view diff] case mismatch in snippet view article find links to article
2020. Ezzat, Souraya; El Gayar, Neamat; Ghanem, Moustafa M. (2012). "Sentiment Analysis of Call Centre Audio Conversations using Text Classification" (PDF)
Eric Gilbert (775 words) [view diff] exact match in snippet view article find links to article
J., and Eric Gilbert. "Vader: A parsimonious rule-based model for sentiment analysis of social media text." Eighth international AAAI conference on weblogs
Algorithmic Justice League (2,468 words) [view diff] case mismatch in snippet view article find links to article
Mohammad, Saif M. (2018). "Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems" (PDF). Proceedings of the Seventh Joint Conference on Lexical
Flavored tobacco (7,193 words) [view diff] case mismatch in snippet view article find links to article
"Perceptions of Menthol Cigarettes Among Twitter Users: Content and Sentiment Analysis". Journal of Medical Internet Research. 19 (2): e56. doi:10.2196/jmir
Type-1 OWA operators (2,315 words) [view diff] exact match in snippet view article find links to article
Information fusion ; Linguistic expressions and symbolic translation ; Sentiment analysis ; Route selection in uncertain environments ; Recommendations on eCommerce
Media bias in the United States (18,905 words) [view diff] exact match in snippet view article find links to article
Veen, A. Maurits (2018). "Media portrayals of Muslims: a comparative sentiment analysis of American newspapers, 1996–2015". Politics, Groups, and Identities
Giuseppe Porcaro (1,604 words) [view diff] exact match in snippet view article find links to article
Netherlands Porcaro G. (2016). Tweeting Brexit: Narrative building and sentiment analysis Porcaro G. (2016). “Policy and politics in the era of Industrial Internet”
E-HRM (5,293 words) [view diff] exact match in snippet view article find links to article
screening, and provides insights into employee engagement through sentiment analysis. This integration not only improves efficiency but also supports strategic
Islamophobia in the media (5,964 words) [view diff] exact match in snippet view article find links to article
Veen, Maurits (2018). "Media portrayals of Muslims: a comparative sentiment analysis of American newspapers, 1996–2015". Journal of the Western Political
Data annotation (674 words) [view diff] exact match in snippet view article find links to article
learning models can perform complex tasks such as object detection, sentiment analysis, and speech recognition with greater precision. Image classification
Yudhanjaya Wijeratne (2,291 words) [view diff] exact match in snippet view article find links to article
worked on the WSO2 Election Monitor, which generated attention and sentiment analysis around the election contests. In an (apparent) parody piece for April
EEG analysis (2,515 words) [view diff] case mismatch in snippet view article find links to article
Ritesh V.; Patil, Lalit V. (2022), "Stress & Emotion Recognition Using Sentiment Analysis with Brain Signal", 2022 IEEE 2nd International Conference on Mobile
Tigrai Television (280 words) [view diff] case mismatch in snippet view article find links to article
Televesion home page", tigraitv.com, retrieved September 14, 2024 "Sentiment Analysis on Tigray Television Services: A Rule-based Approach", repository
Josh Drean (530 words) [view diff] exact match in snippet view article find links to article
HR tech startup at Harvard, which was recognized for its real-time sentiment analysis capabilities. He has been featured in publications such as Harvard
Quantification (machine learning) (1,696 words) [view diff] exact match in snippet view article
Sebastiani (2016). "From classification to quantification in tweet sentiment analysis". Social Network Analysis and Mining. 6 (19): 1–22. doi:10.1007/s13278-016-0327-z
Multimodal learning (2,338 words) [view diff] exact match in snippet view article find links to article
Combining visual, audio, and text data, multimodal systems enhance sentiment analysis and emotion recognition, applied in customer service, social media
Hsinchun Chen (2,271 words) [view diff] exact match in snippet view article find links to article
research. DiabeticLink research includes information extraction, sentiment analysis, and social network analysis to be integrated into the DiabeticLink
Federated learning (5,892 words) [view diff] exact match in snippet view article find links to article
different local nodes. For example, in natural language processing, the sentiment analysis may yield different sentiments even if the same text is observed.
Armen Berjikly (1,773 words) [view diff] exact match in snippet view article find links to article
siterankdata.com. Retrieved 2018-12-07. Garvey, Megan (2012-01-21). "What sentiment analysis can and cannot tell us about the GOP race". Los Angeles Times. ISSN 0458-3035
Amazon Kinesis (917 words) [view diff] exact match in snippet view article find links to article
applications, such as object recognition, facial recognition, and sentiment analysis. Amazon Kinesis follows a pay-as-you-go pricing model, with costs
Jiebo Luo (888 words) [view diff] exact match in snippet view article find links to article
and particularly pioneering work on multimodal understanding for sentiment analysis, computational social science, and digital health." 2018. ACM Fellow
MindsDB (913 words) [view diff] exact match in snippet view article find links to article
requests. This integration enabled advanced text classification, sentiment analysis, emotion detection, translation, and more. During the same period
Dyninno Group (1,290 words) [view diff] exact match in snippet view article find links to article
enhance customer service and business operations through advanced sentiment analysis and conversational analytics with a cutting-edge accuracy rate of
Social media use in politics (12,036 words) [view diff] exact match in snippet view article find links to article
"Analyzing social media messages of public sector organizations utilizing sentiment analysis and topic modeling". Information Polity. 26 (4): 375–390. doi:10.3233/IP-210321
Christopher Potts (704 words) [view diff] exact match in snippet view article find links to article
Andrew Y. Ng; and Christopher Potts. (2011). Learning word vectors for sentiment analysis. Proceedings of the 49th Annual Meeting of the Association for Computational
Yang Liu (speech recognition) (733 words) [view diff] exact match in snippet view article
recognition and understanding, prosody modelling, summarization, sentiment analysis, and social media research". Liu, Yang; Shriberg, Elizabeth; Stolcke
Murder of Ján Kuciak (9,816 words) [view diff] case mismatch in snippet view article find links to article
the Murder of Ján Kuciak—Revealing Spatiotemporal Patterns through Sentiment Analysis and Topic Modeling" ISPRS International Journal of Geo-Information
Lucidya (1,374 words) [view diff] exact match in snippet view article find links to article
Features include Arabic language analysis (the platform provides sentiment analysis with 92% accuracy across 15 Arabic dialects); real-time engagement
Hannah E. Davis (1,453 words) [view diff] exact match in snippet view article find links to article
University. Davis's work as a generative artist focused on music, sentiment analysis and bias in datasets. A major theme of Davis's work was translating
Drametrics (1,630 words) [view diff] exact match in snippet view article find links to article
configurations Topic modeling for thematic pattern identification Sentiment analysis for tracking emotional arcs Linguistic analysis of dialogue patterns
Digital signal processing and machine learning (2,051 words) [view diff] exact match in snippet view article find links to article
applications such as speech recognition, language translation, and sentiment analysis. These systems are capable of accurately understanding and transcribing
Double Reduction Policy (3,169 words) [view diff] case mismatch in snippet view article find links to article
Weichen; Peng, Jun (8 September 2022). Zhang, Dalin (ed.). "The Public Sentiment Analysis of Double Reduction Policy on Weibo Platform". Computational Intelligence
GPT-4 (6,159 words) [view diff] case mismatch in snippet view article find links to article
2023. Retrieved March 20, 2023 – via Yahoo Finance. "Revolutionizing Sentiment Analysis with GPT-4: Part 1 | Viable". www.askviable.com. Archived from the
Artificial intelligence engineering (4,108 words) [view diff] exact match in snippet view article find links to article
context in language. AI engineers work on various NLP tasks, including sentiment analysis, machine translation, and information extraction. These tasks require
Computer network engineering (4,305 words) [view diff] case mismatch in snippet view article find links to article
Platforms". In Shakya, Subarna; Du, Ke-Lin; Ntalianis, Klimis (eds.). Sentiment Analysis and Deep Learning. Advances in Intelligent Systems and Computing.
Center squeeze (4,970 words) [view diff] exact match in snippet view article find links to article
2018, the first year that RCV was used in Maine. I then conducted a sentiment analysis to find each advertisement's sentiment (whether it was negative or
15.ai (11,402 words) [view diff] exact match in snippet view article find links to article
The emotional contextualizer functionality utilized DeepMoji, a sentiment analysis neural network developed at the MIT Media Lab. Introduced in 2017