Book ChapterDOI
Sentiment-Based Data Mining Approach for Classification and Analysis
Viral Vashi,L. D. Dhinesh Babu +1 more
- pp 581-595
TLDR
This project has provided a data mining approach based on how nowadays user provides their view in tweets to classify them into set of feature and also to analyze tweet to compare service or product-based organization.Abstract:
Traditionally, individuals gather feedback from their friends or relatives before purchasing an item but today the trend is to identify the opinions of a variety of individuals around the globe using micro blogging data and twitter is such one famous micro blogger where user expresses their view in form of tweets. In this project, we have provided a data mining approach based on how nowadays user provides their view in tweets. This approach basically is around sentiment expressed in tweets to classify them into set of feature and also to analyze tweet to compare service or product-based organization.read more
References
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Proceedings Article
Twitter as a Corpus for Sentiment Analysis and Opinion Mining
Alexander Pak,Patrick Paroubek +1 more
TL;DR: This paper shows how to automatically collect a corpus for sentiment analysis and opinion mining purposes and builds a sentiment classifier, that is able to determine positive, negative and neutral sentiments for a document.
Journal ArticleDOI
Sentiment analysis algorithms and applications: A survey
TL;DR: This survey paper tackles a comprehensive overview of the last update in this field of sentiment analysis with sophisticated categorizations of a large number of recent articles and the illustration of the recent trend of research in the sentiment analysis and its related areas.
Sentiment Analysis of Twitter Data
TL;DR: This article introduced POS-specific prior polarity features and explored the use of a tree kernel to obviate the need for tedious feature engineering for sentiment analysis on Twitter data, which outperformed the state-of-the-art baseline.
Journal ArticleDOI
Subjectivity and sentiment analysis: An overview of the current state of the area and envisaged developments
TL;DR: This introduction presents an overview of the current state of research in the Natural Language Processing tasks of subjectivity and sentiment analysis, as well as their application domains and closely-related research field of emotion detection.
Proceedings ArticleDOI
Exploiting emoticons in sentiment analysis
Alexander Hogenboom,Daniella Bal,Flavius Frasincar,Malissa Bal,Franciska de Jong,Uzay Kaymak +5 more
TL;DR: How emoticons typically convey sentiment is analyzed and how to exploit this by using a novel, manually created emoticon sentiment lexicon in order to improve a state-of-the-art lexicon-based sentiment classification method.