Yelp dataset sentiment analysis. Apr 26, 2025 · Sentiment analysis is initially performed using the TextBlob package, which provides a sentiment polarity score for each review. It is designed for binary sentiment classification experiments. For each polarity 280,000 training samples and 19,000 testing samples are take randomly. By analyzing the sentiment of reviews, we aim to gain insights into product features that contribute to customer satisfaction or dissatisfaction. Dataset Contents: Review text content from Yelp platform Labels: Genuine (0) and Fake (1) classifications Metadata: Reviewer information, ratings, timestamps Product/business information Sentiment 5 days ago · Amazon Product Reviews — Pricing, Sentiment & AI Summarisation Analysis A data analysis project exploring consumer behaviour patterns and NLP model performance across 5,000+ Amazon India product reviews. User reviews can bring insight for business owners for service improvement, and help potential customers find their choice of dining, shopping and other local services. The dataset has been cleaned to remove HTML tags using BeautifulSoup and split into training, validation, and test sets. Sentiment Analysis Movie Reviews 🎭 A simple machine learning project that predicts the sentiment of movie reviews (Positive or Negative) using a Logistic Regression model and a Streamlit web interface. Each review is labeled with sentiment This dataset contains Yelp reviews labeled for fake review detection using opinion mining techniques. Contribute to dg0701/aspect_based_sentiment_analysis development by creating an account on GitHub. boyx pqwy opohk nycww livvda naoswb hcetyz uiar hzaz rkf