Upload README.md

README.md

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+# ***Assamese Sentiment Analysis using LSTM***
+
+This project develops a sentiment analysis model for the Assamese language using a deep learning approach based on LSTM (Long Short-Term Memory). The goal is to classify Assamese text into positive, negative, or neutral sentiments using modern NLP techniques.
+
+---
+
+## 🚀 Features
+
+- ✅ Supports sentiment analysis for Assamese text
+- 🧠 Built using TensorFlow/Keras with an LSTM architecture
+- ✂️ Text preprocessing: cleaning, tokenization, optional stemming, stopword removal
+- 📦 Uses [AssameseTokenizer](https://github.com/KashyapKishore/AssameseTokenizer.git) for better language-specific tokenization
+- 📊 Evaluates using F1-score, precision, recall, and accuracy
+
+----------------------
+
+## 🧪 Requirements
+
+Install dependencies:
+
+```bash
+pip install -r requirements.txt
+
+Also install the Assamese tokenizer from its GitHub repository:
+git clone https://github.com/KashyapKishore/AssameseTokenizer.git
+cd AssameseTokenizer
+pip install .