Flipkart Reviews Sentiment Analysis using Python

Flipkart Reviews Sentiment Analysis involves processing customer reviews to determine their sentiment, typically categorized as positive, negative, or neutral. Using Python, this can be achieved through a series of steps: data collection (scraping reviews), data preprocessing (cleaning and normalizing text), feature extraction (using techniques like TF-IDF or word embeddings), and model training (using machine learning algorithms such as Naive Bayes, SVM, or deep learning models). Libraries like BeautifulSoup for scraping, NLTK or SpaCy for text processing, and Scikit-learn or TensorFlow for model building are commonly utilized to automate and analyze customer sentiment effectively.