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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: DATA PREPROCESSING FOR SENTIMENT ANALYSIS USING TWITTER DATA
Authors Name: Dr. Angelpreethi , Daisy Brijith Rani Y , Karan Marshal J
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IJRTI_211837
Published Paper Id: IJRTI2606018
Published In: Volume 11 Issue 6, July-2026
DOI:
Abstract: Data preprocessing is an integral part of sentiment analysis, especially when it comes to unstructured data from Twitter. This paper describes a fairly comprehensive method of data preprocessing for Twitter data, so that the sentiment analysis can be performed effectively. The proposed method involves a number of steps, such as data preprocessing, tokenization, stemming, lemmatization, and feature engineering. Different machine learning algorithms like Naive Bayes, Support Vector Machines, Random Forest, and Long Short-Term Memory Networks are employed to evaluate the efficiency of the sentiment classification process. The experimental results show that proper preprocessing methods can improve the performance of sentiment analysis by up to 15% compared with models trained on raw data.
Keywords: Twitter, Data preprocessing, Sentiment analysis, Machine Learning, Text mining, feature engineering.
Cite Article: "DATA PREPROCESSING FOR SENTIMENT ANALYSIS USING TWITTER DATA", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 6, page no.a147-a158, July-2026, Available :http://www.ijrti.org/papers/IJRTI2606018.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2606018
Registration ID:211837
Published In: Volume 11 Issue 6, July-2026
DOI (Digital Object Identifier):
Page No: a147-a158
Country: -, -, India
Research Area: Science & Technology
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2606018
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2606018
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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