This project utilizes a dataset of Turkish product reviews to build a Natural Language Processing (NLP) model for sentiment analysis. The dataset contains a total of 235,165 product reviews collected online, with 220,284 positive and 14,881 negative reviews. The goal of this project is to develop a model that can accurately classify the sentiment of Turkish product reviews.
This repository contains to procces of learning NLP. The dataset is too big to upload to github. You can download the dataset from here.