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This project employs emotion detection in textual data, specifically trained on Twitter data comprising tweets labeled with corresponding emotions. It seamlessly takes text inputs and provides the most fitting emotion assigned to it.

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SannketNikam/Emotion-Detection-in-Text

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app.py
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track_utils.py
track_utils.py
 
 

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This project employs emotion detection in textual data, specifically trained on Twitter data comprising tweets labeled with corresponding emotions. It seamlessly takes text inputs and provides the most fitting emotion assigned to it.

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nlp data-science machine-learning sentiment-analysis word2vec wordcloud nltk logistic-regression tf-idf stopwords stemming lemmatization emotion-detection count-vectorizer model-deployment multinomialnb streamlit streamlit-webapp streamlit-cloud
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