Divya Sharma's repositories
CoviSA
A COVID-19 based Twitter sentiment analysis
resume
Resume website made using Flutter Web
divya2399.github.io
Something different from the regular resumes
FlashChat
Flutter and Firebase based chat application
BMIApp
A simple app to calculate your BMI
QuizApp
A simple quiz app created using Flutter
XylophoneApp
A Xylophone app to play fundamental sounds
MyProfile
A simple MyProfile app created using Flutter to learn the basics
HackerRank_solutions
317 efficient solutions to HackerRank problems
Sentiment-Analysis-of-Text-Data-Tweets-
This project addresses the problem of sentiment analysis on Twitter. The goal of this project was to predict sentiment for the given Twitter post using Python. Sentiment analysis can predict many different emotions attached to the text, but in this report, only 3 major were considered: positive, negative and neutral. The training dataset was small (just over 5900 examples) and the data within it was highly skewed, which greatly impacted on the difficulty of building a good classifier. After creating a lot of custom features, utilizing bag-of-words representations and applying the Extreme Gradient Boosting algorithm, the classification accuracy at the level of 58% was achieved. Analysing the public sentiment as firms trying to find out the response of their products in the market, predicting political elections and predicting socioeconomic phenomena like the stock exchange.
Breast-Cancer-Detection
Breast Cancer Detection Using Machine Learning