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GitHub / SannketNikam / Emotion-Detection-in-Text
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.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SannketNikam%2FEmotion-Detection-in-Text
Stars: 13
Forks: 2
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 4.24 MB
Dependencies: pending
Created: about 1 year ago
Updated: about 2 months ago
Last pushed: 3 months ago
Last synced: about 1 month ago
Topics: count-vectorizer, data-science, emotion-detection, lemmatization, logistic-regression, machine-learning, model-deployment, multinomialnb, nlp, nltk, sentiment-analysis, stemming, stopwords, streamlit, streamlit-cloud, streamlit-webapp, tf-idf, word2vec, wordcloud