https://tourist-bot-hilapp.web.app
Twitter sentiment analysis Machine learning model, which can find the sentiment score based on the tweets data. We are finding sentiment scores and emotion for 5000 tweets data everyday using machine learning models and analyzing it with various data analysis like frequency count ,monthly and weekly data analysis . Based on the sentiment score of everyday and of different #tags ,we can analyze the sentiments ,variation of sentiments in public.
- Language - Python ,JS,HTML ,CSS
- ML - Text Blob IBM Tone Analyzer ,Google BERT Model
- Libraries - NLTK ,GelOldTweet3 ,Wordnet ,Stopword, D3.js ,Material Ui, React-Bootstrap
- Frameworks - Flask,Reactjs ,Node
- Database - Firebase
- Deployment - Pythonanywhere ,Firebase Hosting
- Other - Google colab ,Jupyter notebook ,Kaggle Notebook
https://drive.google.com/file/d/1J7olMz38UN7yhn-OM6BXZ6Odppm1tLy3/view?usp=sharing
https://drive.google.com/file/d/14XcvLROC6G_SiDr90tGSqYcrtj9fmmxl/view?usp=sharing
All code(data Cleaning to Machine Learning) is under DataSciencr Folder and Dashboard Source code is on main screen ,For detailed source code change branch to.
It is version 1 of our project .According to reviews and feedbacks we will update it and add more salient features in next version.As we covered most of the key features of our project and made a Minimal Viable Product,and some features kept for version 2 - like Respnsive ,Mobile App etc.