Lahdhirim/NLP-sentiment-classification-aws
A complete pipeline for sentiment analysis using Hugging Face Transformers and AWS services. The model can be run on both Streamlit Share Server and AWS (using S3 for storage and EC2 for deployment). This repository covers data preprocessing, model training, evaluation, and accurate sentiment prediction on reviews.
This tool helps businesses and individuals understand the emotional tone behind text data. You input text like customer reviews, social media posts, or survey responses, and it tells you if the sentiment is positive, negative, or neutral, along with a confidence score. It's designed for market researchers, customer service managers, HR professionals, or anyone who needs to quickly gauge public or internal opinion from large volumes of text.
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Use this if you need to automatically categorize large amounts of text feedback (like reviews or social media comments) into positive, negative, or neutral sentiments to understand public opinion or customer satisfaction.
Not ideal if you need a human-level nuanced understanding of highly complex or sarcastic text, or if you only have a few pieces of text to analyze manually.
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Python
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Last pushed
Sep 11, 2025
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