Results 21 to 30 of about 606,833 (269)
Multimodal Sentiment Analysis: A Survey
It needs to be returned for major ...
Songning Lai+4 more
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Sentiment Analysis for Social Media [PDF]
Sentiment analysis has become a key technology to gain insight from social networks. The field has reached a level of maturity that paves the way for its exploitation in many different fields such as marketing, health, banking or politics. The latest technological advancements, such as deep learning techniques, have solved some of the traditional ...
Carlos A. Iglesias, Antonio Moreno
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Social networks are the main resources to gather information about people’s opinion and sentiments towards different topics as they spend hours daily on social media and share their opinion. In this technical paper, we show the application of sentimental analysis and how to connect to Twitter and run sentimental analysis queries.
Hamid Bagheri, Md Johirul Islam
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Sentiment analysis in SemEval: a review of sentiment identification approaches
<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p>ocial media platforms are becoming the foundations of social interactions including messaging and opinion expression.
Bousselham El Haddaoui+3 more
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Sentiment analysis: Bayesian Ensemble Learning
AbstractThe huge amount of textual data on the Web has grown in the last few years rapidly creating unique contents of massive dimension. In a decision making context, one of the most relevant tasks is polarity classification of a text source, which is usually performed through supervised learning methods.
FERSINI, ELISABETTA+2 more
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Sentiment Analysis Is Not Solved! Assessing and Probing Sentiment Classification [PDF]
Accepted to BlackBoxNLP Workshop at ACL ...
Barnes, Jeremy Claude+2 more
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ABSTRACT This manuscript describes the intentional use of adult learning principles in creating three faculty development initiatives centering on equity‐based teaching. The authors reflected on the design and development process, facilitation and the perceived benefits and challenges.
Kayon Murray‐Johnson+1 more
wiley +1 more source
Usefulness of Sentiment Analysis
What can text sentiment analysis technology be used for, and does a more usage-informed view on sentiment analysis pose new requirements on technology development?
Karlgren, Jussi+4 more
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ABSTRACT Objective Spinocerebellar ataxias (SCAs) are a group of genetically heterogeneous neurodegenerative diseases causing progressive deterioration and reduced quality of life. Therapeutic advances have been limited by a lack of sensitive anatomic, functional, or diffusion imaging‐based biomarkers.
David J. Arpin+11 more
wiley +1 more source
Evaluation datasets for Twitter sentiment analysis: a survey and a new dataset, the STS-Gold [PDF]
Sentiment analysis over Twitter offers organisations and individuals a fast and effective way to monitor the publics' feelings towards them and their competitors.
Alani, Harith+3 more
core +1 more source