Abstract:
An advanced Comment Sentiment Analysis system detects hidden sentiments in comments and rates the post. Opinion mining achieves system functionality. Opinion Mining Sentiment Analysis reviews user-posted topics on the web.
Based on user feedback, the system rates topics as good, bad, or worst. We rank user comments using a database of sentiment-based keywords with positivity or negativity weights. After logging in, users can view their status and admin-posted topics.
Users can comment on topics by clicking on them. System will rank topic by matching comment with database keywords. User can edit profile and change picture.
The admin adds posts and database keywords. Users can post about past or future events using this app. This app promotes the topic by advertising. This system also helps users review their new ideas. This system also helps users review posted events.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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