Inspiration
Since , I am obsessed with Twitter , so I thought to make a dashboard which will do analysis of the sentiment of the tweets.
What it does
It basicallly analyses the polarity of the tweets as : most positive, most negative and neutral.
How we built it
I built by using Logistic Regression and checked its accuracy of my machine learning model. Furthermore, I cleaned the dataset and removed stopwords and done its preprocessing. Initially, I extracted the tweets by using a module snscrape.
Challenges we ran into
Cleaning of tweets and accuracy betterment were the challenges we ran into overall.
Accomplishments that we're proud of
Finally , we succeeded in extracting the sentiment of the tweets.
What we learned
How to clean a dataset and preprocess it and how to increase the acccuracy of machine learning model by using different ml algorithms which fit better.
What's next for Sentilyzer
I am looking forward to make it language specific too so that it can detect the languages and extract sentiments from it.
Also emoticon analysis will be a cherry on the top of the cake. Looking to implement it soon.
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