3rd_Assignment_xsxsceedde Presentation.pptx

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1. Turkish Movie Sentiment analysis of movie reviews using deep learning models Presenting by: Sheraz Ul Hassan Roll No. 23201009-011

2. Introduction of Dataset The dataset used for this analysis comprises Turkish movie reviews obtained from Kaggle . Each entry in the dataset includes: comment : The text of the movie review. film_name : The name of the movie being reviewed. point : The rating given to the movie, which is initially in string format and needs conversion to a numerical format. The primary goal is to perform sentiment analysis, classifying the reviews as positive (rating ≥ 3) or negative (rating < 3). This involves cleaning the text data, preprocessing it, and applying machine learning models to predict sentiment.

3. Models Simple RNN(Recurrent Neural Network) LSTM (Long-Short Term Memory) GRU (Gated Recurrent Unit) Find Accuracy ? Training Time ?

4. Code

5. Output

6. Results