A sentiment analyzer built using NLTK (Natural Language Toolkit) is a text analysis tool that determines the emotional tone of a piece of text, such as positive, negative, or neutral. It employs NLTK's pre-trained models and lexicons to classify the sentiment of the text. This analyzer is useful for understanding the emotional context of text data
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A sentiment analyzer built using NLTK (Natural Language Toolkit) is a text analysis tool that determines the emotional tone of a piece of text, such as positive, negative, or neutral. It employs NLTK's pre-trained models and lexicons to classify the sentiment of the text. This analyzer is useful for understanding the emotional context of text data
adarshpatelmulluru/Sentiment-Analyzer
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A sentiment analyzer built using NLTK (Natural Language Toolkit) is a text analysis tool that determines the emotional tone of a piece of text, such as positive, negative, or neutral. It employs NLTK's pre-trained models and lexicons to classify the sentiment of the text. This analyzer is useful for understanding the emotional context of text data
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