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Please use this identifier to cite or link to this item: http://lrcdrs.bennett.edu.in:80/handle/123456789/4699
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dc.contributor.authorSrivastava, Divya-
dc.contributor.authorPriyanka-
dc.contributor.authorPaliwal, Vineet-
dc.date.accessioned2024-05-30T11:40:07Z-
dc.date.available2024-05-30T11:40:07Z-
dc.date.issued2023-
dc.identifier.issn978-93-5053-895-1-
dc.identifier.urihttp://lrcdrs.bennett.edu.in:80/handle/123456789/4699-
dc.description.abstractThe Sentiment Analysis Tool is still in a position to grow as the digital world changes. Upcoming improvements include improving algorithms and extending language_x000D_ We created an emotion analysis tool that processes the statement, by first splitting its all the words, removing the stop words, then checking the remaining text from the dataset and then gives the output in the form of rates and also stating the sentence if it is positive, negative or neutral. If the sentence is negative, then the rates will be in negative. And in the case of neutral, it gives zero.en_US
dc.publisherCyber Tech Publicationsen_US
dc.titleEmo Analytica: A Sentiment Analysis Toolen_US
dc.typeBook Chapteren_US
Appears in Collections:Book Chapters_ SCSET

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