Update 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 .
+# 🌟 Assamese Sentiment Analysis with LSTM  
+**Tags:** `#text-classification` `#sentiment-analysis` `#Assamese` `#LSTM`
+
+> A deep learning-powered tool to classify Assamese text as **Positive**, **Negative**, or **Neutral** using an LSTM model tailored for the Assamese language.  
+
+---
+
+## 🚀 Key Features
+
+- 🔍 **Sentiment Analysis for Assamese** – Supports full sentiment classification of Assamese text  
+- 🧠 **Deep Learning Backbone** – Powered by TensorFlow/Keras with a Long Short-Term Memory (LSTM) network  
+- ✨ **Advanced Preprocessing** – Includes tokenization, text cleaning, optional stemming, and stopword removal  
+- 🧰 **Custom Tokenization** – Leverages [AssameseTokenizer](https://github.com/KashyapKishore/AssameseTokenizer.git) for accurate language handling  
+- 📈 **Robust Evaluation Metrics** – F1-score, precision, recall, and accuracy  
+
+---
+
+## 🧠 Model Overview
+
+| Property            | Details                                         |
+|---------------------|--------------------------------------------------|
+| **Model Name**      | `pratyushee/assamese-sentiment-analysis`         |
+| **Architecture**    | Pretrained LSTM-based neural network             |
+| **Language**        | Assamese (অসমীয়া)                               |
+| **Classes**         | 3 – Positive, Neutral, Negative                  |
+| **Use Cases**       | Customer feedback, social media monitoring, opinion mining |
+
+---
+
+## 🧪 Installation & Requirements
+
+Clone the repo and install the requirements:
+
+```bash
+pip install -r requirements.txt