GitHub topics: twitter-sentiment-analysis

Repositories

vinitshah24/Twitter-Data-Analysis

Twitter data analysis and visualization using Python and matplotlib library.

Language: Python - Size: 43.1 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

AnshulSood11/Twitter-Demand-Forecasting

Twitter Analytics for Demand Forecasting

Language: Python - Size: 9.12 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

piyushvarshney/twitter-sentiment-analysis

Twitter Sentiment analysis with polarity and subjectivity using Python

Language: HTML - Size: 12.7 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 6 - Forks: 3

mxrty/twitter-sentiment-tool

Written using Apache Spark python API as part of CS3800: Advanced Database Systems module.

Language: Python - Size: 86.9 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

angelina-ss/sentimentAnalysis

Sentiment analysis using TextBlob library in Python to find correlation between stock price and Twitter sentiment

Language: Jupyter Notebook - Size: 820 KB - Last synced at: 4 months ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

schairez/daca-tweets-analysis

mining twitter data, performing NLP (topic modeling, sent analysis), and getting a feel for how Americans view DACA and related immigration topics

Language: Jupyter Notebook - Size: 1.33 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

robotenique/nlp_model_tutorial

A simple text classification NLP model, using tweets in portuguese

Language: HTML - Size: 673 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 2

davidreis97/Hatemeter

Language: Python - Size: 7.81 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

Myrto-Iglezou/Sentiment-Classifiers-NN

This project includes 4 models of sentiment classifiers using feed-forward neural networs for The Twitter sentiment analysis dataset and comparison of them.

Language: Jupyter Notebook - Size: 866 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

This project is a word2vec implementation of the tweets collected from twitter. We followed the ethical way of creating a developer account and followed the official twitter documentation to collect we data. We highly encourage the viewers to check the official documentation out and follow instructions to ethically collect the tweets and the data. For this project, we personally scraped 15000 tweets and applied preprocessing using regular expressions to filter the punctuations and miscellaneous characters that hinder the corpora learning path. We later used Tokenization followed by removal of filter words to make associations easier to understand. The basic idea was to use word2vec and bring out the association of texts based on the corpora that was fed in. This can help in 2 ways, a future implementation on a larger dataset can help autofill and search recommender systems and also, to just understand what the gossip is all about! Our main idea was to somehow find a solution that resembles Apriori in text based datasets. This was a good example of association based learning. Thus, due to this motivation, we created the project.

Language: Jupyter Notebook - Size: 104 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

DataSenseiAryan/TrendzMap Fork of rishitoshsingh/TrendzMap

This Project shows real time trending Hashtags in the world from twitter. It also aims to classify the trending hashtag as sexist/racist/none.

Language: Jupyter Notebook - Size: 5.97 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

thepanacealab/covid19_biohackathon

Repository for our Covid19 Biohackathon Projects

Language: TeX - Size: 62.8 MB - Last synced at: 3 months ago - Pushed at: about 5 years ago - Stars: 4 - Forks: 0

fabioselau077/tweets-feelings-python-cloud

Análise de Sentimentos de Tweets com Python no Google Cloud.

Language: Python - Size: 2.93 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

data-datum/nlp_resources

Resources related to NLP

Size: 45.9 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 10 - Forks: 7

WladimirSidorenko/Dissertation

Ph.D. Thesis

Language: Jupyter Notebook - Size: 115 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 0

Aditya239233/Disaster-Tweets

Analyzing Twitter feeds to predict Natural Disasters

Language: Jupyter Notebook - Size: 721 KB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

palucdev/TwitterSentimentAnalysis

Sentiment Analysis applied to the latest Tweets

Language: TypeScript - Size: 110 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

iyashwantsaini/tweetify_

Twitter Data Collection, Analysis Tool

Language: HTML - Size: 20 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

kurval/Twitter-Analyzer

Twitter analyzer -app for retrieving and analyzing Tweets using sentiment analysis.

Language: Python - Size: 216 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Myrto-Iglezou/Comment-Classifier

A machine learning system that takes a comment and classifies it as offensive or non-offensive (neutral). This system will be trained in a data set with comments in which the tags (insult or non-insult) are known. Classification algorithms used: Naive Bayes, SVM, Random Forest.

Language: Jupyter Notebook - Size: 6.17 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

TheRustifyer/twitter_bot

Command line Twitter BOT that can help your profile to grow it's impact on media

Language: Python - Size: 8.79 KB - Last synced at: about 10 hours ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

kanishksh4rma/Shinzo-Abe-twitter-Sentiment-analysis

Twitter’s 139 million daily active users interact with brands on the network in important ways, from retweeting your content to a broader audience to making purchases that directly impact your bottom line. In this Project, I have performed Shinzo Abe (Japanese Prime Minister) Twitter Sentiment Analysis.

Language: Jupyter Notebook - Size: 653 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

gemhue/twittersentiment

code gives the textblob sentiment score of the results of a tweepy api search

Language: Python - Size: 1.95 KB - Last synced at: 9 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

jenil123/Sentiment-Analysis-on-twitter-data

Language: Jupyter Notebook - Size: 32.2 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

agcy1210/Sentiment-Analyzer Fork of DhruvBabariya/sih_nlp

Language: CSS - Size: 35.6 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

cmadusankahw/NLP-twitter-sentiment-analysis

This Project is based on Natural Language Processing, Naive Bayes Classification for Sentiment Analysis on Twitter tweets.

Language: Jupyter Notebook - Size: 5.59 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

yvetteyyuan/plant_based_segmentation

Analyze how people perceive plant-based diets online and generate marketing insights on the plant-based products.

Language: R - Size: 2.89 MB - Last synced at: 6 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Science-for-Nature-and-People/soc-twitter

SNAPP - Soil Organic Carbon Twitter data

Language: HTML - Size: 45.5 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 4

meetdaxini/Sentiment_Classifier

Language: Jupyter Notebook - Size: 1010 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

tabithaks/Public-Opinion-on-Climate-Change-Initiatives

Understand public opinion toward the Paris Agreement and Green New Deal by analyzing Twitter data with natural language processing techniques.

Language: Jupyter Notebook - Size: 13.5 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 2

wonderyue/TwitterStreaming

Sentiment analysis of twitter stream

Language: Python - Size: 3.91 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

tusharojha/twitter_sentiment_analysis

Twitter Sentiment Analysis is a machine learning python program which fetches real-time tweets from twitter and perform sentiment analysis on them.

Language: Jupyter Notebook - Size: 20.5 KB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 1

sowmyagowri/Stock-Market-Analysis

A group project for CMPE255 at SJSU

Language: JavaScript - Size: 57.2 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

ap-atul/Twitter-Data-Analysis

Sentiment Analysis on the Twitter Data

Language: Python - Size: 1.86 MB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

niharpatel1999/Natural-Language-Processing

Various projects of Natural Language Processing in Python

Language: Jupyter Notebook - Size: 32.5 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 1

Ankit152/Twitter-Sentiment-Extraction

Twitter Sentiment Extraction using Natural Language Processing

Language: Jupyter Notebook - Size: 43 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

satish-rawat/Data-Visualization

Sentiment Analysis Dashboard Using Tableau

Size: 2.68 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

phoenix-1-2/Twitter-Sentiment-Analysis

Twitter US Airline Sentiment Dataset, which contains data for over 14000 tweets, predicting the sentiment of the tweet i.e. positive, negative or neutral.

Language: Jupyter Notebook - Size: 1.3 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

ferdiko/MMST-spelling-correction

A novel, context-sensitive spelling corrector that uses clusterings in GloVe embeddings as a learned notion of context.

Language: Python - Size: 144 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

quantumsnowball/AppleDaily20200907

Language: Python - Size: 7.81 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

AmeerMuhammed/twop-coreml

Twitter Opinion through sentiment analysis using Natural Language Processing. CoreML2 is used for NLP.

Language: Swift - Size: 381 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

BharatMaheshwari96/TwitterSentimentAnalysis

Language: Jupyter Notebook - Size: 1.59 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

ShaneyMantri/Twitter-Sentiment-Analysis

Twitter Sentiment Analysis based on keywords and profile.

Language: Python - Size: 1.64 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

nihithreddy/Twitter-Sentiment-Analysis

This is the code for doing Twitter Sentiment Analysis by using Nltk library in python.

Language: Jupyter Notebook - Size: 9.77 KB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

1solation/twitter_sentiment_analysis

A mini project to parse through tweets using Twitters API and analyse them, returning the tweets followed by its sentiment and subjectivity scores to the console.

Language: Python - Size: 5.86 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

Uttam580/Twitter_sentimental_analysis

Twitter sentimental anlaysis to demonstrate sentiment using textblob , data extracted through tweepy , integrated with dash

Language: Python - Size: 340 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

TheWitchers3/Sentimento

Twitter Sentiment Analysis https://twittersentimentanalysisfront.herokuapp.com/

Language: CSS - Size: 1.68 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

juliachong/NLPrimaries Fork of ralterman/NLPrimaries

🇺🇸Natural Language Processing of Democratic Candidate Tweets (Group Project)

Language: Jupyter Notebook - Size: 28.5 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

weefatboi/my-two-sents

an app that pulls twitter data, analyzes and scores stock tweets with ML based on their sentiment

Language: HTML - Size: 2.13 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

vmallela0/Twitter-Sentiment-Analysis

A twitter sentiment analysis project in a jupyter notebook.

Language: Jupyter Notebook - Size: 59.6 KB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 1

sumaiya08/twitter-data-analysis

We're going to perform sentiment analysis and deploy machine learning techniques to extract a user’s sentiment from the content of their tweets.

Language: Python - Size: 1.16 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 1

GabrielRodriguez66/Data-Mining-Final-Project

Data analysis of tweets about a controversial situation of a YouTuber. Used TwitterAPI to fetch tweets and performed sentiment analysis

Language: Jupyter Notebook - Size: 285 KB - Last synced at: 7 months ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

AnaNava1996/Inteligencia-artificial-CIC

Programs I did during my 6th semester at the ESCOM. I took artificial Intelligence at the Computing Research Center (It's not exactly ESCOM)

Language: Perl - Size: 578 KB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0

Tarandeep97/Twitter-sentiment-Analysis

Opinion Mining from Twitter Data

Language: Jupyter Notebook - Size: 60.5 KB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

kmbuki/depressionke

Depression in Kenya is on the rise. This repo is a first step to using data to find ways to address the situation.

Language: R - Size: 182 KB - Last synced at: 3 months ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

it-worked-yesterday/HowsTheMovie

Scrapes movie/TV Series details and twitter sentiments about the same. Front end src : https://github.com/it-worked-yesterday/HowsTheMovie-FrontEnd

Language: Python - Size: 14.6 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

satendrapandeymp/twitter_bot

This is a simple twitter bot which keeps saving tweets related to a keyword and retweet them after analyzing...

Language: Python - Size: 2.93 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0

beadlejack/twitterEmergingTopics

Spark DStream application to detect emerging topics on Twitter

Language: XSLT - Size: 1.47 MB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

rj-1234/Rating-Movies-and-Predicting-Movie-ratings

Language: Jupyter Notebook - Size: 8.69 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0

prasad8mhatre/IBM-personality-insight-youtube-playlist-creator

Language: Python - Size: 38.1 KB - Last synced at: almost 2 years ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 2

RodolfoLSS/text_mining_nlp

Tweets' sentiment analysis regarding the Brazilian president Jair Bolsonaro.

Language: Jupyter Notebook - Size: 656 KB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 1

farhan711/twitter-tweets-analyzer

This web app takes a Twitter handle, and retrieves all of their tweets. It performs Sentiment Analysis and User Modeling (through IBM Watson) to analyze the user.

Language: JavaScript - Size: 11.7 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 1

pratigya10feb/ElectionPrediction

Language: Python - Size: 93.8 MB - Last synced at: over 2 years ago - Pushed at: about 8 years ago - Stars: 3 - Forks: 2

khandelwalpranav05/Basic-twitter-sentiment-analyzer

Code that list all the tweets and their sentiment analysis result that are related to any tag or word.

Language: Jupyter Notebook - Size: 1.95 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 1

gianmarcoricciarelli/twitter_sentiment_analysis

Sentiment Analysis using different models like SVM, NB, CNN and LSTM on a corpus composed by labeled tweets.

Language: TeX - Size: 17.8 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

Droidverine/Tweet_Analyzer

A project to stream tweets & analyse their sentiments.

Language: Python - Size: 17.6 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 5

kaustubhmulay/YorkU-twitter-sentiment-analysis Fork of deenuy/YorkU-twitter-sentiment-analysis

Size: 1000 Bytes - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

deenuy/YorkU-twitter-sentiment-analysis

Size: 9.77 KB - Last synced at: 2 months ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 1

apchavan/ULMFiT_Twitter

ULMFiT model for Twitter US Airlines Sentiment

Language: Jupyter Notebook - Size: 38.1 KB - Last synced at: 3 months ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0

AngeloGiacco/tweetCloud

☁️generate a tweet cloud for any account in any shape

Language: Python - Size: 7.24 MB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

hamzaafridi/delhi-riots

Analysis of tweets during delhi riots.

Language: HTML - Size: 496 KB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

LawrenceMMStewart/Twitter_UK2019GE

Twitter Analysis from UK 2019 election tweets.

Language: Python - Size: 9.77 KB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

convexalpha/Sentiment-Analysis-for-Twitter

Sentiment Analysis module created in Python using nltk, connected to Twitter

Language: Python - Size: 2.93 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

akjayant/Sentiment-Analysis

Twitter Sentiment Analysis

Language: Python - Size: 14.6 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

shariqfarooq123/twitter_sentiment

Twitter Sentiment classification using Deep Learning. A classic example of application of deep learning in Natural Language Processing.

Language: Python - Size: 39.1 MB - Last synced at: about 2 years ago - Pushed at: about 8 years ago - Stars: 3 - Forks: 1

Sakchhi/Sentiment-Analysis-Twitter

Sentiment Analysis Competition hosted at DataHack

Language: Python - Size: 11.4 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

zthxxx/tweetopo

A simple spider for Twitter interpersonal topology.

Language: Python - Size: 844 KB - Last synced at: 21 days ago - Pushed at: about 7 years ago - Stars: 6 - Forks: 1

vishal-pandey/twitter-sentiment-analysis

Sentiment Analysis Using Twitter

Language: JavaScript - Size: 290 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

kumar-shridhar/Twitter_Sentiment_Analysis

Analyse sentiments of tweets posted on Twitter

Language: Python - Size: 1.03 MB - Last synced at: 2 months ago - Pushed at: over 8 years ago - Stars: 1 - Forks: 2

zaman-lab/brexitmeter-py

The "Brexitmeter" is a convolutional neural network trained to classify the degree to which any given Tweet expresses pro-Europe or pro-Brexit sentiments on a numeric scale from zero to one, where lower scores represent pro-Europe and higher scores represent pro-Brexit.

Language: Python - Size: 7.27 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 2

kroudir/Twitter-Sentiment-Analysis-with-python

The objective of this project is to detect hate speech in tweets. For the sake of simplicity, we say a tweet contains hate speech if it has a racist or sexist sentiment associated with it. So, the task is to classify racist or sexist tweets from other tweets.

Language: Jupyter Notebook - Size: 3.5 MB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 3 - Forks: 2