IJFANS International Journal of Food and Nutritional Sciences

ISSN PRINT 2319 1775 Online 2320-7876

SENTIMENT ANALYSIS OF TWITTER DATA ON THE HINDI LANGUAGE

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Ms. Madhuri Thorat, Sanket Bhadale, Santosh Biradar, Mansur Mujawar, Faizan Pathan

Abstract

Brands yearn to decode customer whispers and shouts on the bustling streets of Twitter. Sentiment analysis acts as a magic decoder ring, unlocking the emotions behind every tweet. This powerful tool reveals areas of delight, discontent, and apathy, guiding brands towards data-driven decisions. It's a swift shield against online storms, helping brands steer clear of negativity and amplify positive buzz. Embrace the whispers, understand the roar, and watch your brand soar.

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