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Classification of Code-Mixed Bilingual Phonetic Text Using Sentiment Analysis

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  • Shailendra Kumar Singh

    (Computer Science and Engineering, Sant Longowal Institute of Engineering and Technology, India)

  • Manoj Kumar Sachan

    (Computer Science and Engineering, Sant Longowal Institute of Engineering and Technology, India)

Abstract

The rapid growth of internet facilities has increased the comments, posts, blogs, feedback, etc., on a large scale on social networking sites. These social media data are available in an unstructured form, which includes images, text, and videos. The processing of these data is difficult, but some sentiment analysis, information retrieval, and recommender systems are used to process these unstructured data. To extract the opinion and sentiment of internet users from their written social media text, a sentiment analysis system is required to develop, which can work on both monolingual and bilingual phonetic text. Therefore, a sentiment analysis (SA) system is developed, which performs well on different domain datasets. The system performance is tested on four different datasets and achieved better accuracy of 3% on social media datasets, 1.5% on movie reviews, 1.35% on Amazon product reviews, and 4.56% on large Amazon product reviews than the state-of-art techniques. Also, the stemmer (StemVerb) for verbs of the English language is proposed, which improves the SA system's performance.

Suggested Citation

  • Shailendra Kumar Singh & Manoj Kumar Sachan, 2021. "Classification of Code-Mixed Bilingual Phonetic Text Using Sentiment Analysis," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 17(2), pages 59-78, April.
  • Handle: RePEc:igg:jswis0:v:17:y:2021:i:2:p:59-78
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    Cited by:

    1. Yu, Qinyao, 2022. "Simulation of the interactive prediction of contemporary social change and religious socialization based on big data," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    2. Ali, Mohsan & Hassan, Mehdi & Kifayat, Kashif & Kim, Jin Young & Hakak, Saqib & Khan, Muhammad Khurram, 2023. "Social media content classification and community detection using deep learning and graph analytics," Technological Forecasting and Social Change, Elsevier, vol. 188(C).

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