Headlyzer

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.

Built With

• natural-language-processing
• python