GitHub - sumaiya08/twitter-data-analysis: We're going to perform sentiment analysis and deploy machine learning techniques to extract a user’s sentiment from the content of their tweets.

twitter-data-analysis

We're going to perform sentiment analysis on tweets collected from Twitter, a leading social media and micro-blogging platform.

Data is collected from the exisiting Twitter dataset along with recent tweets using Twitter API.
Sentiment Analysis We're going to use a lexicon based approach and train a classifier to classify the tweets as :
```
Positive, Negative, Neutral and irrelevant.
```
Statistics of the sentiment analysis can help us determine the success of a product launch.
Create some visualisation for the keyword entered - In this case, 'Samsung Galaxy S9'

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
__pycache__		__pycache__
AllVisualization.pdf		AllVisualization.pdf
README.md		README.md
TwitV3.twbx		TwitV3.twbx
dbconn.py		dbconn.py
de.py		de.py
proj2.py		proj2.py
twitter_mask.png		twitter_mask.png