Create README.md

ch08/additional_features/README.md

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+Task: Add more data preprocessing steps
+In this task, we will explore the impact of adding more data preprocessing steps on the accuracy and generalization of our sentiment analysis model. Specifically, we will add stemming, lemmatization, and/or stop-word removal to the existing data preprocessing steps.
+
+Files and Folders
+sentiment_analysis.py: This is the main script that performs sentiment analysis on a given input text.
+
+preprocessing.py: This script contains the existing data preprocessing steps. You will modify this script to add more preprocessing steps.
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+data: This folder contains the training and test data.
+
+Instructions
+Clone the repository and create a new branch for this task.
+
+Open the preprocessing.py script and add more data preprocessing steps such as stemming, lemmatization, or stop-word removal. You can use any NLP library such as NLTK or spaCy to implement these preprocessing steps.
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+Train the model using the modified data preprocessing steps and evaluate its accuracy and generalization using the test data.
+
+Update the README file with the results of the evaluation and a description of the added preprocessing steps.
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+Push the changes to the branch and create a pull request.
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+Wait for the reviewer to approve the pull request and merge it with the main branch.