twitter-sentiment-analysis | Topic

Topic: "twitter-sentiment-analysis"

yashrajkakkad/covidTweet

Analyse and visualise tweets related to COVID-19 using LeafletJS and SQL

Language: Jupyter Notebook - Size: 9.24 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 2

Athiban-32/twitter-sentiment-analysis

Sentiment Analysis of Lockdown in India During COVID-19:A Case Study on Twitter

Language: Jupyter Notebook - Size: 13.3 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0

gauravssnl/Twitter-Sentiment-Analysis

Twitter Sentiment Analysis by using Python

Language: Python - Size: 11.4 MB - Last synced at: 25 days ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 3

Py-Contributors/twitterify

tweet-retweet bot in python

Language: Python - Size: 17.6 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 2

imshubh17/Projects

Python-Flask Web-Application Projects

Language: HTML - Size: 3.43 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0

stefanrmmr/kaggle_twitter_airline_sentiment

Kaggle Twitter US Airline Sentiment, Implementation of a Tweet Text Sentiment Analysis Model, using custom trained Word Embeddings and LSTM-Deep learning [TUM-Data Analysis&ML summer 2021] @adrianbruenger @stefanrmmr

Language: Python - Size: 187 MB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 1

3ZadeSSG/ContentBased-Movie-Recommendation-using-Sentiment-Analysis

A Hybrid Recommendation model based on sentiment analysis on tweets and item based filtering to closely match preferred recommendation.

Language: Java - Size: 29.3 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 3

mdh266/TwitterSentimentAnalysis

Twitter Sentiment Analysis using Spark, MongoDB, and Google Cloud

Language: Jupyter Notebook - Size: 4.47 MB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 0

ziedYazidi/Kafka-Spark-HBase-Sentiment-Analysis

This project aims to consume a twitter stream via Apache Kafka, apply a sentiment analysis on the tweets with Apache Spark jobs and save the result into Apache HBase.

Language: Java - Size: 150 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 1

zackhr/Twitter-Sentiment-Analysis-Covid-19

This work begins by collecting a dataset of tweets with twitter-streaming API regarding COVID-19 and classifying them according to the sentiment that is expressed: positive, negative or neutral

Language: Jupyter Notebook - Size: 16.6 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 4

anshul1004/LiveTwitterSentimentAnalysis

Live sentiment analysis of tweets using Kafka

Language: Python - Size: 4.63 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 1

souradeepta/Sentiment-Analysis-on-Indian-General-Elections-2019

Sentiment Analysis on Indian General Elections 2019

Language: TSQL - Size: 41.1 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 0

Dkreitzer/Twitter_Scraping_and_Saving

Jupyter Notebook with code to help scrape, analyze, organize, and save tweets in CSV files

Language: Jupyter Notebook - Size: 314 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 5 - Forks: 7

nagarmayank/twitter_sentiment_analysis

sentiment analysis and topic modelling

Language: Python - Size: 1.6 MB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 2

chenzhe142/movie-on-tweets

Movie on Tweets. IMDb score predictor based on Twitter sentiment analysis. Project repository for Northwestern University EECS 349 - Machine Learning, 2015 Spring.

Language: Python - Size: 7.36 MB - Last synced at: about 2 years ago - Pushed at: almost 10 years ago - Stars: 5 - Forks: 1

vamshi4001/Twinsight

Get an insight of a person through his Twitter account

Language: JavaScript - Size: 551 KB - Last synced at: about 2 years ago - Pushed at: almost 15 years ago - Stars: 5 - Forks: 3

santhoshse7en/tweety

tweety scrape all the tweets using python and selenium with No API rate limits. No restrictions. Extremely fast.

Language: Python - Size: 24.4 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 4 - Forks: 1

agushendra7/twitter-sentiment-analysis-using-vader-and-random-forest

Twitter Sentiment Analysis Using Vader Lexicon and Random Forest Classifier

Language: Jupyter Notebook - Size: 11.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

fcorowe/twitter_migatittudes

This repository contains the relevant data and code to replicate the analysis and results reported in our Chapter "Using Twitter Data to Monitor Immigration Sentiment", Harnessing Data Innovation for Migration Policy: A Handbook for Practitioners published by International Organization for Migration.

Language: Jupyter Notebook - Size: 13.2 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 1

NitinNitinRaj/Live-Twitter-sentiment-analysis-web-app

The is a web app for twitter sentiment analysis.

Language: Python - Size: 5.65 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 5

rolandogdp/twitter-sent-analysis

Twitter sentiment analysis project

Language: Python - Size: 7.36 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

hectoramirez/Language-localization_FIFA

End-to-end study of EA Sports' FIFA localization

Language: HTML - Size: 19.1 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 3

RaviTejaKomma/Twitter-Sentiment-Analysis

Language: Jupyter Notebook - Size: 1.99 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 4

Thomas-George-T/Social-Media-Analytics-in-R

Taking a look at data of 1.6 million twitter users and drawing useful insights while exploring interesting patterns visualized with concise plots. The techniques used include text mining, sentimental analysis, probability, time series analysis and Hierarchical clustering on text/words using R.

Language: RMarkdown - Size: 156 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 1

rochitasundar/TwitterSentimentAnalysis-BigDataProject

Scrapped tweets using twitter API (for keyword ‘Netflix’) on an AWS EC2 instance, ingested data into S3 via kinesis firehose. Used Spark ML on databricks to build a pipeline for sentiment classification model and Athena & QuickSight to build a dashboard

Language: Jupyter Notebook - Size: 8.79 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 0

manugaco/Project_Bachelors_Degree_Thesis

BSc thesis code

Language: R - Size: 214 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0

ksingh7/twitter_streaming_app_on_openshift_OCS

A Demo Twitter Streaming and Sentiment Analysis App to showcase RHT AMQ Streams (Kafka), MongoDB served through Python backend API and Javascript Frontend . This app runs on OpenShift and enjoys persistency using OpenShift Container Storage (rook-ceph)

Language: CSS - Size: 4 MB - Last synced at: 29 days ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 4

toby-p/tweezers

Lightweight Python library for scraping data via the Twitter search API.

Language: Python - Size: 156 KB - Last synced at: 16 days ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 2

brunodpoliveira/twittter-sentiment-analysis

A free and open-source sentiment analysis program, using Twitter data

Language: Python - Size: 8.52 MB - Last synced at: 9 days ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 0

vishalv91/Customer-Analytics

The project concerns an international e-commerce company* based in the USA who want to discover key insights from their customer database. They want to use some of the most advanced machine learning techniques to study their customers.

Language: R - Size: 1.34 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 5

dv-fenix/SentimentClassification

Fine-tuning a BERT model for Sentiment Classification on the SMILE: Twitter Emotion Dataset

Language: Jupyter Notebook - Size: 501 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 0

yogeshnile/Sentiment-Analysis-of-Twitter-Account

Language: Jupyter Notebook - Size: 184 KB - Last synced at: 23 days ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 2

kracekumar/tamil-dataset

Tamil Language dataset for NLP related work.

Size: 135 KB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 1

thepanacealab/covid19_biohackathon

Repository for our Covid19 Biohackathon Projects

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

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

yashkim77/AV_Twitter_Sentiment_Analysis

Twitter Sentiment Analysis (Ml hackathon)

Language: Jupyter Notebook - Size: 2.43 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 4 - Forks: 1

shreyansh26/Live-Twitter-Sentiment-Analysis

Sentiment analysis on live twitter stream and plotting the sentiment values using Matplotlib

Language: Python - Size: 1.43 MB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 4 - Forks: 7

sohamray19/Xflow

A Real-Time Tweet Streaming Pipeline (Using Flume, Kafka & Spark-Streaming) with Deep Learning Sentiment Analysis Model for instant scoring.

Language: Python - Size: 26.1 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 4 - Forks: 1

antoniogodoy17/sentimentAnalysis

Machine learning implemented for twitter sentiment analysis with R.

Language: R - Size: 850 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 1

techwizAJ/subject_sentiment_analysis

Twitter Sentiment Analysis

Language: Python - Size: 3.91 KB - Last synced at: about 2 years ago - Pushed at: almost 8 years ago - Stars: 4 - Forks: 3

P7h/StormTweetsSentimentD3UKViz

Computes and visualizes the sentiment analysis of tweets of UK Counties / Regions in real-time using Storm.

Language: Java - Size: 7.86 MB - Last synced at: about 1 year ago - Pushed at: over 10 years ago - Stars: 4 - Forks: 3

tomoima525/x-analysis-agent

An AI Agent to analyze what people are thinking by observing posts on X(Twitter)

Language: TypeScript - Size: 28.3 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 0

Ate329/SentiMusic

A text-to-audio application that turns words and sentiments into melodies.

Language: Python - Size: 3.38 MB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 3 - Forks: 0

mutalibcs/Twitter-Sentiment-Analysis

Twitter Sentiment Analysis

Language: Jupyter Notebook - Size: 37.2 MB - Last synced at: 5 months ago - Pushed at: 7 months ago - Stars: 3 - Forks: 0

WalidAlsafadi/TwitterSentiment-Llama3

Analyzes sentiment from tweets related to Gaza using GroqCloud’s Llama-3 LLM model and Selenium for data collection. This project aims to provide insights into public sentiment and emotional tone regarding Gaza.

Language: Jupyter Notebook - Size: 85 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 3 - Forks: 0

laisouzalves/twitter-covid19br

Scikit-Learn & Keras LSTM | Projeto voluntário de análise de sentimentos dos tweets da quarentena | Python

Language: Python - Size: 27.5 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

agushendra7/twitter-sentiment-analysis-using-inset-and-random-forest

Twitter Sentiment Analysis Using InSet (Indonesia Sentiment Lexicon) and Random Forest Classifier

Language: Jupyter Notebook - Size: 7.05 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

Pran-Ker/Stock-Analyst

The project analysis the stock markets to give good predictions. As of now it just supports Twitter Sentiment to predict stocks.

Language: Python - Size: 76.2 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 3

drleniaw/Analysis_Sentiment_Twitter_Free_Sex_In_Indonesian

Analysis Sentiment on Twitter Free Sex In Indonesia

Language: Jupyter Notebook - Size: 2.35 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0

codiceSpaghetti/T4SA-2.0

This project creates the T4SA 2.0 dataset, i.e. a big set of data to train visual models for Sentiment Analysis in the Twitter domain using a cross-modal student-teacher approach.

Language: Jupyter Notebook - Size: 2.73 GB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

TheWitchers3/Sentimento

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

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

mukeshmk/twitter-sentiment-analysis

Twitter Sentiment Analysis - An opinion poll where public tweets considered as an indicator to predict the actual election results.

Language: Python - Size: 39.1 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

eonsriram/Emotional-Analysis-on-Twitter-data

Scrapes tweets and and performs Emotional analysis on them.

Language: Python - Size: 586 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

EstherOgutu/Election_Analysis_Using_Unsupervised_Learning

The main objective of this project is to perform election analysis and fake news detection in Kenya using machine learning .

Language: Jupyter Notebook - Size: 27.4 MB - Last synced at: 5 months ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 10

SriSatyaLokesh/Tweetment

Dashboard of Twitter sentiment analysis

Language: HTML - Size: 2.81 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 1

bartolomej/bitter-blocker

Keep your Twitter feed sweet 🍬

Language: JavaScript - Size: 416 KB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 0

DoubleGremlin181/Analyzing-Tweets-2022-Russian-Invasion-of-Ukraine

Language: Jupyter Notebook - Size: 617 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 1

Ishan-Kotian/Twitter-Sentiment-Analysis

Hate Speech in the form of racism and sexism has become a nuisance on Twitter and it is important to segregate these sort of tweets from the rest. In this problem, I have taken the Twitter data that has both normal and hate tweets. So the task was to identify the tweets which have a positive connotation from the tweets that have a negative one.

Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 0

RieGan/Seminar_DDoSForecast

This repository is a collection of code that I use for the "seminar" course in the Computer Science Department of Gadjah Mada University. The topic of this seminar is "Deep Learning Method for Prediction of DDoS Attacks on Social Media" which is taken from DOI:10.1142/S2424922X19500025

Language: Python - Size: 7.16 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 0

thlautenschlaeger/twitter-text-sentiment

This repository provides a small tool/script to perform sentiment analysis on tweets given a hashtag

Language: Python - Size: 1010 KB - Last synced at: 4 days ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

DeepanNarayanaMoorthy/What-Does-BLM-Say

This is an analysis on Black Lives Matter Tweets from Normal People and News Channels using various Unsupervised Natural Language Processing techniques. Tweets starting from 2020-05-25 (death of George Floyd) to 2020-08-01.

Language: HTML - Size: 11.3 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

harshbg/Twitter-Sentiment-Analysis-using-R

An analysis of Sentiments on Election Day in Karnataka State Elections (India) 2018 using R.

Language: R - Size: 530 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 2

emreyesilyurt/twitter_sentiment_analysis

Sentiment analysis with 1.6 million tweets

Language: Jupyter Notebook - Size: 16.9 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 0

xiaorongw/covid19-analysis

Analysis of social media conversations surrounding COVID-19 in Singapore

Language: Jupyter Notebook - Size: 1.34 MB - Last synced at: 10 months ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 4

Sinha199/Personality-Insights-IBM-Watson

The IBM Watson Personality Insights service derives insights about personality characteristics from social media

Language: Jupyter Notebook - Size: 32.2 KB - Last synced at: 10 months ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 0

NamanJain2050/emotion-detection

Emotion Dectection in twitter dataset

Language: Jupyter Notebook - Size: 71.3 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 2

rtimbro185/syr_mads_ist736_text_mining

Syracuse University, Masters of Applied Data Science - IST 736 Text Mining

Language: Jupyter Notebook - Size: 75.4 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 0

caseyjkey/twitter-sentiment-analysis

Collect, tag, and analyze the sentiment of tweets in real-time

Language: Python - Size: 124 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 3 - 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: about 2 years ago - Pushed at: almost 6 years ago - Stars: 3 - Forks: 2

preethamvishy/live-twitter-sentiment

Live cognitive Twitter sentiment analysis using IBM Watson. https://live-twitter-sentiment.herokuapp.com/

Language: TypeScript - Size: 2.38 MB - Last synced at: 2 months ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 1

cyberboysumanjay/AI-Training

Jupyter Notebooks and other files used in AI Training

Language: Jupyter Notebook - Size: 19.6 MB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 6

q-n-t-m/twitter_repo

A twitter sentiment analysis tool for python.

Language: Python - Size: 4.88 KB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 3 - Forks: 1

vithorsilva/public-r-scripts

Scripts in R to publical use

Language: R - Size: 7.81 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 6

mkearney/NCA17

Data collection and visualization of #NCA17 tweets

Language: R - Size: 303 MB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 1

niharikakrishnan/Demonitization-Twitter-Sentiment-Analysis Fork of thecodearrow/Demonitization-Twitter-Sentiment-Analysis

Academic Project: Extracted and analyzed sentiment of citizens via twitter feeds using python open source libraries. Plotted the findings and analysis using data visualization techniques

Language: Python - Size: 1.81 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 0

uesteibar/dev-mood-api

Analyze what folks tweet about programming languages and frameworks

Language: Elixir - Size: 170 KB - Last synced at: 3 months ago - Pushed at: almost 8 years ago - Stars: 3 - Forks: 0

pratigya10feb/ElectionPrediction

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

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

draperunner/fjlc

A Python port of the Fredriksen–Jahren Lexicon Classifier

Language: Python - Size: 38.9 MB - Last synced at: 27 days ago - Pushed at: about 8 years ago - Stars: 3 - Forks: 0

charlescol/news-domains-X-tracker

An auto-refreshing dataset of major news domains and their X (formerly Twitter) accounts, complete with real-time stats like follower counts and engagement metrics. Made for tracking media trends and analytics at scale.

Language: Python - Size: 4.12 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 2 - Forks: 0

Im2rnado/twitter-sentiment-analysis

Sentiment analysis on tweets using Logistic Regression, Decision Trees, KNN, Random Forest, XG Boost, SVM, and NLP (RoBERTa)

Language: Jupyter Notebook - Size: 450 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

Prem07a/TwitterSentiment

Analyzing Twitter sentiments with NLP deployed on Streamlit. Predicts sentiment (positive/negative) based on user-input text.

Language: Python - Size: 49.1 MB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

Nishant2018/Twitter_Scrapping_-_Sentiment_Analysis

This web application performs sentiment analysis on tweets using Twitter's API.

Language: HTML - Size: 489 KB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

Ryan-Iacovone/Chinas-OBOR-Twitter-Data-Scraping

Scrapping tweets about China's Belt and Road Initiative (BRI) from 2014-2023 to see public opinion on a staple policy of the Xi administration to increase the soft power and global creability of China. Also looking at how Chinese State Media influence the conversation surrounding the BRI on English twitter feeds.

Language: Jupyter Notebook - Size: 59.9 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

dixitamol/twitter_SentimentAnalysis

Sentiment Analysis of Tweets for a renowned shoe brand

Language: R - Size: 1.44 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

Harikrishnan6336/Twitter_Sentiment_Analysis

A twitter sentiment analysis program based on tweepy and textblob

Language: Python - Size: 31.3 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 2

trinhhungfischer/coin-trend-tracker

Big Data Project

Language: Java - Size: 1.35 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

Devazc/Sentiment-Analysis

Sentiment analysis of 1.6M tweets using PySpark. Implemented a pipeline to extract features and train models to classify tweets into positive, neutral, and negative polarities. Evaluated the performance of selected algorithms.

Language: Jupyter Notebook - Size: 67.4 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

srilaasya/Tweazy

An extension downloadable through our website which helps you analyze twitter accounts based on the content and history with real-time sentiment analysis on tweets.

Language: JavaScript - Size: 705 KB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

AbshkPskr/Live-Twitter-Sentiment

A live dashboard demonstrating rolling sentiments of tweets.

Language: Python - Size: 1.01 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

pri1311/TweeToxicity

TweeToxicity is a program that analyzes user profiles or hashtags based on recent tweets. The program utilizes machine learning to give Twitter users an appropriate score according to their tweets or retweets. This program is meant for educational purposes and no ill intetions existed prior to creating this program.

Language: Jupyter Notebook - Size: 36.6 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

zuzannad2/irony-detection

Code used in experiment for CLEF2022's Shared Task: Profiling Irony and Stereotype Spreaders on Twitter (IROSTEREO)

Language: Jupyter Notebook - Size: 165 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

BenNorsk/DonElonAI

The Don Elon AI is a twitter sentiment analysis tool. Based on an analysis of over 15'000 different tweets, it is able to categorise tweets and twitter profiles into various different categories. The categories are represented by a string of fictional celebrities, including Don, Elon, AOC, Kylie, Dr. Jordan, and Mia.

Language: HTML - Size: 14.2 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

ShiouLu/Twitter-Brand-Analysis

Using Python to Perform sentiment analysis on two food-delivery-service brands

Language: Jupyter Notebook - Size: 4.81 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

Jashaul/Twitter-Trend-Nature

To check the nature of trending twitter hashtags

Language: Jupyter Notebook - Size: 29.9 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

yvgupta03/Big_Data_Project_US-Airlines_Tweet_Processing_and_Analysis

Big data application of Machine Learning concepts for sentiment classification of US Airlines tweets. The focus is on the usage of pyspark libraries (ml-lib) on big data to solve a problem using Machine Learning algorithms and not about the choice of algorithm used in the ML model creation. It also involves data pre-processing using NLP techniques, cross-validation and parameter-grid builder.

Language: Jupyter Notebook - Size: 1.83 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0