Dursun EKMEKCİ, Fıras SHIHAB

Sentiment Analysis Of Tweets Using Natural Language Processing

ISSN: 2602-4888
Yayın Aralığı: Yılda 2 Sayı
Başlangıç: 2017
Yayıncı: SET Teknoloji

Millions of people use Twitter and other social media sites to share their everyday thoughts in the form of tweets. It is a short and straightforward way of expressing oneself, which is a hallmark of tweeting. As a result, we concentrated on sentiment analysis of Twitter data in our research. Sentiment Analysis is a subset of natural language processing and text data mining. It is feasible to investigate sentiment analysis using Twitter data. performed in a number of different circumstances The technique of finding valuable patterns from textual data is referred to as sentiment analysis.

Keywords:

Sentiment Analysis Natural Language Processing, Twitter Data,

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Reference1: Gao, Wei, and Fabrizio Sebastiani. "Tweet sentiment: From classification to quantification." Advances in Social Networks Analysis and Mining (ASONAM), 2015 IEEE/ACM International Conference on. IEEE, 2015
Reference2: Boia, Marina, et al. "A:) is worth a thousand words: How people attachsentiment to emoticons and words in tweets." Social computing (socialcom),2013