adriel1997 / Twitter-Sentiment-Analysis
Twitter based sentiment analysis using JAVA and Hadoop. In this project we are doing the sentiment analysis on twitter data to analyse whether the tweets posted by people are positive or negative or neutral by checking the tweets with the AFFIN dictionary which has a set of 2500 words along with the value of each word ranging from -5 to +5 denot…
☆10Updated 7 years ago
Alternatives and similar repositories for Twitter-Sentiment-Analysis:
Users that are interested in Twitter-Sentiment-Analysis are comparing it to the libraries listed below
- We scrape news headlines for FB and TSLA then apply sentiment analysis to generate investment insight.☆12Updated 4 years ago
- detect Sarcasm in a text or document☆31Updated 8 years ago
- Personal project where I perform some analytics (including Sentiment Analysis) over a Twitter Stream using Big Data Technologies of the H…☆21Updated 2 years ago
- Sentiment Analysis on Twitter Datasets☆42Updated 10 years ago
- This project develops a deep learning model that trains on 1.6 million tweets for sentiment analysis to classify any new tweet as either …☆41Updated 5 years ago
- Real-time sentiment analysis on tweets using tweepy and kafka. Graphed using the output of a neural network and Dash/Plotly.☆14Updated 4 years ago
- A Project where one can fetch and read tweets and show the analysis like who is most influential☆28Updated last year
- ☆66Updated 5 years ago
- NSS Capstone project to use natural language modeling, classification, and information extraction to get the exact employee count values …☆15Updated 6 years ago
- Twitter Trends is a web-based application that automatically detects and analyzes emerging topics in real time through hashtags and user …☆105Updated 7 years ago
- Using Deep Neural Network to create a predictive model for Fake Account Detection.☆25Updated 3 years ago
- Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0☆118Updated 3 years ago
- ☆14Updated 7 years ago
- Counting Tweets Per User in Real-Time☆42Updated 7 years ago
- The code uses the tweepy library to access the Twitter API and the TextBlob library to perform Sentiment Analysis on each Tweet.☆14Updated 6 years ago
- A guide for binary class sentiment analysis of tweets.☆95Updated 6 years ago
- The objective of this project is to scrape a corpus of news articles from a set of web pages, pre-process the corpus, and then to apply u…☆51Updated 7 years ago
- Perform sentiment analysis on tweets using NLTK and TextBlob!☆12Updated 5 years ago
- 🎭 Sentiment Analysis with Neural Networks☆10Updated 8 years ago
- This project predicts Myers-Briggs personality types using natural language processing and classification modeling. Capstone project I co…☆16Updated 7 years ago
- ☆12Updated 6 years ago
- Integrate Watson Studio and Watson Campaign Automation to tailor your target audience for effective campaigns☆12Updated 3 years ago
- A iPython notebook that tests Graphify's feature extraction and selection algorithm as a logistic regression classifier☆23Updated 10 years ago
- Detecting Fake News with 52,000 article with %97 Accuracy☆94Updated 5 years ago
- Jupyter Notebook + Python code of twitter sentiment analysis☆112Updated 7 years ago
- Language Modelling, CMI vs Perplexity☆11Updated 7 years ago
- Sentiment analysis for Amazon product reviews using Word2Vec and LSTM☆20Updated 4 years ago
- This project performed sentimental analysis based on opinion words (like good, bad, beautiful, wrong, best, awesome, etc) of selected opi…☆30Updated 6 years ago
- Customer analytics has been one of hottest buzzwords for years. Few years back it was only marketing department’s monopoly carried out wi…☆24Updated 6 years ago
- Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.☆96Updated 6 years ago