Results 41 to 50 of about 633,534 (237)
Topic-dependent sentiment analysis of financial blogs [PDF]
, 2009 While most work in sentiment analysis in the financial domain has focused on the use of content from traditional finance news, in this work we concentrate on more subjective sources of information, blogs.
Bermingham, Adam +6 more
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Sentiment Analysis, Basic Tasks of [PDF]
, 2017 Subjectivity detection is the task of identifying objective and subjective sentences. Objective sentences are those which do not exhibit any sentiment. So, it is desired for a sentiment analysis engine to find and separate the objective sentences for further analysis, e.g., polarity detection. In subjective sentences, opinions can often be expressed on
Erik Cambria +2 more
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Sentiment Lexicon Adaptation with Context and Semantics for the Social Web [PDF]
, 2017 Sentiment analysis over social streams offers governments and organisations a fast and effective way to monitor the publics' feelings towards policies, brands, business, etc.
Bollen +7 more
core +1 more source
Sentiment Analysis for Social Media [PDF]
Applied Sciences, 2019 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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Text sentiment visual analysis technology and its application in humanities
大数据, 2022 Sentiment analysis is the mining of information sentiment tendency, which is mainly used for public opinion monitoring, commodity review analysis, and information retrieval.With the rapid development of social media, the volume of text data has shown ...
Lingli ZHANG +6 more
doaj
, 2017 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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Improving the performance of lexicon-based review sentiment analysis method by reducing additional introduced sentiment bias. [PDF]
PLoS ONE, 2018 Sentiment analysis is widely studied to extract opinions from user generated content (UGC), and various methods have been proposed in recent literature. However, these methods are likely to introduce sentiment bias, and the classification results tend to
Hongyu Han +4 more
doaj +1 more source
A Barrage Sentiment Analysis Scheme Based on Expression and Tone
IEEE Access, 2019 Most of existing methods do not consider the influence of expression and tone on barrage sentiment analysis. This decreases the effect and accuracy of barrage sentiment analysis.
Zongmin Cui +5 more
doaj +1 more source
Better Document-level Sentiment Analysis from RST Discourse Parsing [PDF]
, 2015 Discourse structure is the hidden link between surface features and document-level properties, such as sentiment polarity. We show that the discourse analyses produced by Rhetorical Structure Theory (RST) parsers can improve document-level sentiment ...
Bhatia, Parminder +2 more
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Sentiment analysis of health care tweets: review of the methods used. [PDF]
, 2017 BACKGROUND: Twitter is a microblogging service where users can send and read short 140-character messages called "tweets." There are several unstructured, free-text tweets relating to health care being shared on Twitter, which is becoming a popular area ...
Darzi, A, Gohil, S, Vuik, S
core +1 more source