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.
📌 3 Key Takeaways
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Objective & Hypothesis:Millions of people use Twitter and other social media sites to share their everyday thoughts in the form of tweets.
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Key Findings & Data:As a result, we concentrated on sentiment analysis of Twitter data in our research.
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Conclusion & Impact: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.
🔬Design:Derleme
📍Scope:Comprehensive Sample
⚙️Variables:Sentiment Analysis · Natural Language Processing · Twitter Data
Abstract
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.
Shıhab, F., Ekmekci, D. (2022). Sentiment Analysis Of Tweets Using Natural Language Processing. International Journal of Multidisciplinary Studies and Innovative Technologies, Cilt: 6 Sayı: 1, 58–60. https://ajindex.com/articles/1496987
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
Boia, Marina, et al. "A:) is worth a thousand words: How people attachsentiment to emoticons and words in tweets." Social computing (socialcom),2013