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Twitter Sentiment Analysis using Machine Learning Techniques: A Case Study of ChatGPT

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AU5X9KDEX" target="_blank" >RIV/00216208:11320/23:U5X9KDEX - isvavai.cz</a>

  • Result on the web

    <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174706225&doi=10.1109%2fInC457730.2023.10262961&partnerID=40&md5=fb0c26950ae77605c354ecf080a9f81d" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174706225&doi=10.1109%2fInC457730.2023.10262961&partnerID=40&md5=fb0c26950ae77605c354ecf080a9f81d</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/InC457730.2023.10262961" target="_blank" >10.1109/InC457730.2023.10262961</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Twitter Sentiment Analysis using Machine Learning Techniques: A Case Study of ChatGPT

  • Original language description

    "ChatGPT is a powerful AI bot developed by OpenAI. This technology has the potential to generate a humanlike response. ChatGPT is a pre-trained system capable of generating chat and understanding human speech. This paper identified the responses of ChatGPT users through related tweets with the help of natural language processing and machine learning techniques. This paper uses textBlob, VADER and human annotation to find the sentiment of each tweet; countvectorizer is used for feature extraction and different machine learning algorithms to classify them into different classes. LeXmo is used to identify the various sentiment analyses, and it is observed that positive and trust emotions are higher than other sentiments. SVM with 10-fold cross-validation shows better results than other techniques. © 2023 IEEE."

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    "Proc. IEEE InC4 - IEEE Int. Conf. Contemp. Comput. Commun."

  • ISBN

    979-835033577-4

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    1-5

  • Publisher name

    Institute of Electrical and Electronics Engineers Inc.

  • Place of publication

  • Event location

    Cham

  • Event date

    Jan 1, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article