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app.py
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#App: NLP App with Streamlit
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Credits: Streamlit Team, Marc Skov Madsen(For Awesome-streamlit gallery)
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Description
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This is a Natural Language Processing(NLP)
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+ Tokenization & Lemmatization using Spacy
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+ Named Entity Recognition(NER) using SpaCy
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+ Sentiment Analysis using TextBlob
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+ Document/Text Summarization using Gensim/T5 for
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This is built with Streamlit Framework, an awesome framework for building ML and NLP tools.
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Purpose
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To perform basic and useful NLP
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"""
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# Core Pkgs
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import os
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#App: NLP App with Streamlit
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Credits: Streamlit Team, Marc Skov Madsen(For Awesome-streamlit gallery)
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Description
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This is a Natural Language Processing(NLP) base Application which is useful for basic NLP tasks such as follows;
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+ Tokenization(POS tagging) & Lemmatization(root mean) using Spacy
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+ Named Entity Recognition(NER)/Trigger word detection using SpaCy
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+ Sentiment Analysis using TextBlob
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+ Document/Text Summarization using Gensim/T5 both for Bangla Extractive and English Abstructive
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This is built with Streamlit Framework, an awesome framework for building ML and NLP tools.
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Purpose
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To perform basic and useful NLP tasks with Streamlit, Spacy, Textblob, and Gensim
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"""
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# Core Pkgs
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import os
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