You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Perform sentiment analysis on Google Play Store reviews using Python. Analyze user feedback to determine the overall sentiment (positive, negative, or neutral) towards various apps. Gain insights to aid developers and businesses in understanding user satisfaction levels and improving their products.
This project will extract insights from user reviews of European airlines. For NLP analyis, I will models, e.g., TextBlob, VADER, RoBERTa, and Fair framework.
This app searches reddit posts and comments to determine if a product or service has a positive or negative sentiment and predicts top product mentions using Named Entity Recognition
Analyzed user sentiment for ChatGPT's new chat history feature. Found unexpected decrease in positive feedback, especially around data privacy. Highlights need for user-centered AI innovation.
Discover 'Yelp Review Scraper', a smart tool that takes your favorite restaurants and serves up insightful summaries based on Yelp reviews. This automated solution goes beyond simple data collection by generating comprehensive summary reports that help you make more informed dining choices.
In this project, we will take analyze positive and negative hotel reviews and design a model for inferring positive or negative sentiment given a review. We combine a pretrained BERT lanuguage model and a custom multi-layer perceptron to achieve this.