Title- OPINION MINING AND SENTIMENT ANALYSER ON TWITTER DATA STREAM
Supervisor Name- Ms. Akanksha Bhardwaj
Name- Saumya Chaturvedi
Enroll. No.- 9910103430
Summary- The idea is closely related with the utility of the existing web tool of Tweepy which is an efficient tool which is open-sourced and enables Python to communicate with Twitter platform and use its API.
Using available training corpus from some Natural Language Toolkit (NLTK ratings), I’ve attempted to classify each document on the basis of part-of-speech. Keeping the various challenges of human sentiment classification, the proposed system attempts to achieve this selecting the most meaningful/interesting segments from the public data by using Python programming language as the tool to achieve it.
Link to Video demonstration- Click Here
Link to Presentation- Click Here
Reblogged this on georgeforfun.
Thanks for the reblog 🙂