Merge pull request #611 from prateek-1803/main

Added topic modelling

Natural Language Processing/Topic modeling on college reviews/ReadME.md

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+# PROJECT TITLE: Movie Classification Model
+
+## 🎯 Goal
+
+The main goal of this project is to develop a model that extracts major topics from a large amount of reviews.
+## 🧵 Dataset
+
+The dataset used for this project has been scraped from CollegeDunia.com, specifically the Movies Dataset. The dataset contains the following attributes:
+    1. Name of the user who wrote the review (Name)
+    2. College name (college)
+    3. review
+    4. rating
+
+## 🧾 Description
+
+This project involves building a machine learning model to identify major topics in college reviews. The model is trained on a dataset of reviews which has been scraped from CollegeDunia.com.
+
+## 🚀 Models Implemented
+
+    Latent Dirichlet Allocation (LDA) model: LDA is a Bayesian network that analyzes documents to determine the topics they belong to. It does this by assigning each word in a document to different topics, and then mapping the document to a list of topics. 
+
+
+## 📢 Conclusion
+
+The Latent Dirichlet Allocation (LDA) model provided the major topics of discussion in user reviews.
+
+## ✒️ Your Signature
+
+Prateek Khandelwal
+