INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
- Twitter is a micro-blogging website that allows people to share and express their views about topics, or post messages. There has been a lot of work in the Sentiment Analysis of twitter data. This project involves classification of tweets into two main sentiments: positive and negative. In this project, the use of features such as unigram, bigram, POS tagging, and effects of data pre-processing like stemming is observed. Naive Bayes, Support Vector Machines (SVM) and Maximum Entropy (Maxent) are used as the main classifiers. As we shall see in the sections below, SVM with features of unigrams bigrams and stemming, outperforms Naive Bayes.
Keywords:
Machine learning , AI
Cite Article:
"Twitter sentiment analysis", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 1, page no.b396-b399, January-2023, Available :http://www.ijnrd.org/papers/IJNRD2301146.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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