EN
Sentiment Analysis Of Tweets Using Natural Language Processing
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
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
Ayrıntılar
Birincil Dil
İngilizce
Konular
Mühendislik
Bölüm
Derleme
Yayımlanma Tarihi
20 Temmuz 2022
Gönderilme Tarihi
13 Haziran 2022
Kabul Tarihi
20 Haziran 2022
Yayımlandığı Sayı
Yıl 2022 Cilt: 6 Sayı: 1
APA
Shıhab, F., & Ekmekci, D. (2022). Sentiment Analysis Of Tweets Using Natural Language Processing. International Journal of Multidisciplinary Studies and Innovative Technologies, 6(1), 58-60. https://izlik.org/JA43LW62HU
AMA
1.Shıhab F, Ekmekci D. Sentiment Analysis Of Tweets Using Natural Language Processing. IJMSIT. 2022;6(1):58-60. https://izlik.org/JA43LW62HU
Chicago
Shıhab, Fıras, ve Dursun Ekmekci. 2022. “Sentiment Analysis Of Tweets Using Natural Language Processing”. International Journal of Multidisciplinary Studies and Innovative Technologies 6 (1): 58-60. https://izlik.org/JA43LW62HU.
EndNote
Shıhab F, Ekmekci D (01 Temmuz 2022) Sentiment Analysis Of Tweets Using Natural Language Processing. International Journal of Multidisciplinary Studies and Innovative Technologies 6 1 58–60.
IEEE
[1]F. Shıhab ve D. Ekmekci, “Sentiment Analysis Of Tweets Using Natural Language Processing”, IJMSIT, c. 6, sy 1, ss. 58–60, Tem. 2022, [çevrimiçi]. Erişim adresi: https://izlik.org/JA43LW62HU
ISNAD
Shıhab, Fıras - Ekmekci, Dursun. “Sentiment Analysis Of Tweets Using Natural Language Processing”. International Journal of Multidisciplinary Studies and Innovative Technologies 6/1 (01 Temmuz 2022): 58-60. https://izlik.org/JA43LW62HU.
JAMA
1.Shıhab F, Ekmekci D. Sentiment Analysis Of Tweets Using Natural Language Processing. IJMSIT. 2022;6:58–60.
MLA
Shıhab, Fıras, ve Dursun Ekmekci. “Sentiment Analysis Of Tweets Using Natural Language Processing”. International Journal of Multidisciplinary Studies and Innovative Technologies, c. 6, sy 1, Temmuz 2022, ss. 58-60, https://izlik.org/JA43LW62HU.
Vancouver
1.Fıras Shıhab, Dursun Ekmekci. Sentiment Analysis Of Tweets Using Natural Language Processing. IJMSIT [Internet]. 01 Temmuz 2022;6(1):58-60. Erişim adresi: https://izlik.org/JA43LW62HU