SENTIMENT ANALYSIS

a. To Do : Build a Text Classification Model for Sentiment Analysis
b. Description : Required to build a text classification model for sentiment analysis using a dataset of online product reviews.
c. Requirements :
i. Load the dataset and preprocess it if necessary (handle missing values, scale features, etc).
ii. Split the dataset into training and testing sets.
iii. Implement a logistic linear regression model using libraries like scikit-learn.
iv. Train the model on the training set and evaluate its performance on the testing set using appropriate metrics (e.g., accuracy, F1 score).
v. Visualize the regression along with the actual data points using matplotlib or any other suitable visualization library.