LSTM Confusion Matrix
Logistic Regression Confusion Matrix
Project information
- Category: Sentiment Analysis & Classification
- Project date: 05 Nov, 2023
- Project URL: Project Link
Project Description
- Objective: Conducted sentiment analysis on IMDb reviews, categorizing them as either positive or negative sentiments to understand audience opinions.
- Techniques Used: Employed Bag of Words and TF-IDF embedding methodologies to preprocess and represent text data, capturing semantic meanings and word importance.
- Logistic Regression: Utilized Logistic Regression as an initial classifier, evaluating its performance using a confusion matrix to assess the model's ability to predict sentiment labels.
- LSTM: Implemented Long Short-Term Memory (LSTM) neural networks, a type of recurrent neural network (RNN), for sentiment analysis, and further evaluated its effectiveness using a confusion matrix to understand its prediction accuracy.