Inspiration
Sentiment Analysis
What it does
Made a python script that analyzes headlines through i/o stream and predicts whether the article is "Positive" or "Negative" and assigns a score from 0 to 1 to emphasize on how Positive or Negative the article is. To run the python script, first install flair using $ pip install flair and then $ python .\headlyzer.py
How we built it
Used Flair, which is a simple to use framework for state of the art NLP.
Challenges we ran into
Learning about various pre-trained NLP models
Accomplishments that we're proud of
Predicts the article sentiments with great accuracy
What we learned
Learnt about various pre-trained sentiment analysis models and its usage.
What's next for Headlyzer
A real time web scraping feature using selenium in the python script that fetch headlines from news websites and gives us its sentiments.
