Sentiment Analysis Of Tweets Using Natural Language Processing

Yıl 2022, Cilt: 6 Sayı: 1, 58 - 60, 20.07.2022

Dursun Ekmekci Fıras Shıhab

Öz

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.

Anahtar Kelimeler

Sentiment Analysis, Natural Language Processing, Twitter Data

Kaynakça

• 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