Sentiment analysis on @gojekindonesia 's tweets using NaiveBayesClassifier
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Updated
May 28, 2019 - CSS
Sentiment analysis on @gojekindonesia 's tweets using NaiveBayesClassifier
Sentiment Analysis of Tweets concerning the European Election 2019.
Django application that provides a sentiment balanced, location-based non-repetitive dynamic news-feed using NLP techniques on data extracted from Twitter.
A tool that mines for various companies employees sentiments about the company and suggests recommendations accordingly
SentiTape is a Python & Flask web app that creates playlists for users on Spotify based on how they feel using sentiment analysis.
네이버 댓글분석 대시보드 개발 (은상)
Study of different methods of Stock Market Analysis
This Python MIni Project rates the Amazon Products based on the Sentiments of the User Reviews using NLP.
A web app that summarizes text or PDF content, detects sentiment, and creates word clouds from frequently used words.
Sentiment analysis is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information.
Twitter Sentiment Analysis is a mini project that utilizes Logistic Regression to classify tweets as either positive or negative. The project includes an API endpoint built with FastAPI, allowing users to submit a tweet's URL and receive a sentiment analysis response.
Built a sentiment analysis of IMDB movie reviews using state-of-art deep learning techniques, achieved an accuracy of 97% of 25k test data. Additionally, I set up a flask server to handle requests from the front end.
A tool that takes an image based content article and automatically generates a motion video out of it.
Firefox extension that categorize news article according to their humor, by sentiment analysis.
Mood Based Excursion Application built for Mozilla Hackathon
Real Time Sentiment Analysis using Wink NLP.
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