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A Novel Twitter Sentimental Analysis Approach Using Naive Bayes Classification

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Intelligent System Design

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 494))

Abstract

The world is mutating into a better place due to the innovations happening around the globe. Since people spend much time regularly on social media to express their opinions, social networks are the primary sources of information regarding people’s opinions and feelings on various topics. Twitter is a micro blogging and social networking site that allows users to post brief status updates of up to 140 characters in length. It is a rapidly growing service. This project resolves the issue of sentiment analysis on Twitter. Sentiment analysis is a form of natural language processing used to monitor public opinion on a specific product or subject. Sentiment analysis, also known as opinion mining, entails creating a framework to capture and analyze product opinions expressed in blog posts, comments, reviews, or tweets. The objective of this report is to provide an illustration of this fascinating problem as well as a model for performing sentiment analysis on Twitter tweets using the Naïve Bayes classification algorithm.

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Author information

Authors and Affiliations

  1. CSE Department, Stanley College of Engineering and Technology for Women, Hyderabad, Telangana, India

    Lingala Thirupathi

  2. CSE Department, Kakatiya Institute of Technology & Science, Warangal, Telangana, India

    G. Rekha

  3. CSE Department, Methodist College of Engineering & Technology, Hyderabad, Telangana, India

    S. K. Shruthi, B. Sowjanya & Sowmya Jujuroo

Authors
  1. Lingala Thirupathi
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  2. G. Rekha
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  3. S. K. Shruthi
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  4. B. Sowjanya
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  5. Sowmya Jujuroo
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Corresponding author

Correspondence to Lingala Thirupathi .

Editor information

Editors and Affiliations

  1. Dr. A.P.J. Abdul Kalam Technical University, Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial College of Engineering and Management (SRMCEM), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  2. Principal, BVRIT Hyd. College of Engineering for Women, Hyderabad, Telangana, India

    K. V. N. Sunitha

  3. College of Information Science and Eng, Ritsumeikan University, Kusuatsu, Shiga, Japan

    Yen-Wei Chen

  4. Department of Informatics, University of Leicester, Leicester, UK

    Yu-Dong Zhang

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Thirupathi, L., Rekha, G., Shruthi, S.K., Sowjanya, B., Jujuroo, S. (2023). A Novel Twitter Sentimental Analysis Approach Using Naive Bayes Classification. In: Bhateja, V., Sunitha, K.V.N., Chen, YW., Zhang, YD. (eds) Intelligent System Design. Lecture Notes in Networks and Systems, vol 494. Springer, Singapore. https://doi.org/10.1007/978-981-19-4863-3_39

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