twitter-sentiment-analysis | Topic

Topic: "twitter-sentiment-analysis"

shirosaidev/stocksight

Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

Language: Python - Size: 3.03 MB - Last synced at: 27 days ago - Pushed at: over 1 year ago - Stars: 2,250 - Forks: 471

twitter-bootstrap twitter-bot twitter twitter-api twitter-streaming-api twitter-client twitter-sentiment-analysis twitter-bots twitter-clone bot-twitter twitter-spam twitter-spammer twitter-free-bot twitter-free

Size: 1.95 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 763 - Forks: 0

Chulong-Li/Real-time-Sentiment-Tracking-on-Twitter-for-Brand-Improvement-and-Trend-Recognition

A real-time interactive web app based on data pipelines using streaming Twitter data, automated sentiment analysis, and MySQL&PostgreSQL database (Deployed on Heroku)

Language: Jupyter Notebook - Size: 5.78 MB - Last synced at: 6 months ago - Pushed at: about 5 years ago - Stars: 283 - Forks: 127

digitalepidemiologylab/covid-twitter-bert

Pretrained BERT model for analysing COVID-19 Twitter data

Language: Python - Size: 3.4 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 181 - Forks: 26

the-javapocalypse/Twitter-Sentiment-Analysis

This script can tell you the sentiments of people regarding to any events happening in the world by analyzing tweets related to that event

Language: Python - Size: 9.77 KB - Last synced at: 9 months ago - Pushed at: about 2 years ago - Stars: 158 - Forks: 114

P7h/Spark-MLlib-Twitter-Sentiment-Analysis

:star2: :sparkles: Analyze and visualize Twitter Sentiment on a world map using Spark MLlib

Language: Scala - Size: 19.7 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 135 - Forks: 69

alvarobartt/twitter-stock-recommendation

Simple Stock Investment Recommendation System based on Machine-Learning algorithms for prediction and Twitter Sentiment Analysis.

Language: Python - Size: 90.5 MB - Last synced at: 30 days ago - Pushed at: over 5 years ago - Stars: 124 - Forks: 43

vinitshahdeo/jobtweets

:mag: This project is about searching the twitter for job opportunities using popular hashtags and applying sentiment analysis on this. :hash: :bird:

Language: Python - Size: 1.36 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 123 - Forks: 83

agrawal-rohit/tweet-sense

Sentiment analysis dashboard for Twitter hashtags

Language: Jupyter Notebook - Size: 14.5 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 101 - Forks: 35

StephanAkkerman/fintwit-bot

FinTwit-Bot is a Discord bot designed to track and analyze financial markets by pulling data from platforms like Twitter, Reddit, and Binance. It features customizable tools for sentiment analysis, market trends, and portfolio tracking to help traders stay informed and make data-driven decisions.

Language: Python - Size: 5.34 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 96 - Forks: 25

ruanchaves/hashformers

Hashformers is a framework for hashtag segmentation with Transformers and Large Language Models (LLMs).

Language: Python - Size: 23.6 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 70 - Forks: 5

P7h/StormTweetsSentimentAnalysis

Computes sentiment analysis of tweets of US States in real-time using Storm.

Language: Java - Size: 350 KB - Last synced at: about 1 year ago - Pushed at: almost 9 years ago - Stars: 62 - Forks: 28

ezgisubasi/turkish-tweets-sentiment-analysis

This sentiment analysis project determines whether the tweets posted in the Turkish language on Twitter are positive or negative.

Language: Jupyter Notebook - Size: 1.96 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 60 - Forks: 14

kbastani/sentiment-analysis-twitter-microservices-example

A sample application that demonstrates how to build a graph processing platform to analyze sources of emotional influence on Twitter.

Language: Java - Size: 289 KB - Last synced at: 12 days ago - Pushed at: over 5 years ago - Stars: 60 - Forks: 24

mertkahyaoglu/twitter-sentiment-analysis

Twitter Sentiment Analysis For Turkish Language

Language: Python - Size: 118 KB - Last synced at: about 1 month ago - Pushed at: almost 6 years ago - Stars: 59 - Forks: 18

hasanimran96/Predicting-Consumer-Purchase-intention-using-Twitter-Data

Predicting Consumer Purchase intention using Twitter Data

Language: Jupyter Notebook - Size: 283 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 50 - Forks: 16

soxoj/bellingcat-hackathon-watchcats

📊 Adana - 1-click analytical dashboard for OSINT researchers

Language: Jupyter Notebook - Size: 7.01 MB - Last synced at: about 3 hours ago - Pushed at: about 1 year ago - Stars: 40 - Forks: 12

everydaycodings/Twitter-Sentimental-Analysis-WebApp

Twitter Sentiment Analysis using #tag, words and username

Language: Python - Size: 8.56 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 40 - Forks: 16

timmmGZ/Weibo-sentiment-analysis-and-crawler

情感分析，微博情感分析，微博水军检测，水军检测，营销粉检测，僵尸粉检测，微博爬虫

Language: Jupyter Notebook - Size: 37 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 40 - Forks: 16

afrisenti-semeval/afrisent-semeval-2023

AfriSenti-SemEval Shared Task 12: Sentiment Analysis for African languages : https://afrisenti-semeval.github.io/

Language: Jupyter Notebook - Size: 33 MB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 38 - Forks: 38

vinitshahdeo/TwitterSentimentAnalysis

:chart: A web app to search twitter based on #Hashtags and calculate the sentiment of tweets.

Language: PHP - Size: 190 KB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 38 - Forks: 24

jess-data/Twitter-2020-Sentiment-Analysis

Sentiment Analysis Project using Natural Language Processing (NLP) Techniques

Language: Jupyter Notebook - Size: 12.5 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 37 - Forks: 12

seinecle/Umigon 📦

Sentiment analysis for Twitter and social media

Language: Java - Size: 1.6 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 35 - Forks: 10

songyouwei/SA-DL 📦

Sentiment Analysis with Deep Learning models. Implemented with Tensorflow and Keras.

Language: Python - Size: 1.4 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 35 - Forks: 14

kb22/Twitter-Sentiment-Analysis

This project develops a deep learning model that trains on 1.6 million tweets for sentiment analysis to classify any new tweet as either being positive or negative.

Language: Jupyter Notebook - Size: 253 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 33 - Forks: 8

ViralLab/TurkishBERTweet

TurkishBERTweet: Fast and Reliable Large Language Model for Social Media Analysis

Language: Python - Size: 1.84 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 29 - Forks: 1

rbhatia46/Twitter-Sentiment-Analysis-Web

Twitter Sentiment Analysis using Textblob and Tweepy, wrapped with Flask as a web app.

Language: JavaScript - Size: 990 KB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 27 - Forks: 14

Ajinkya-Sonawane/Python

Python

Language: Python - Size: 64.4 MB - Last synced at: 10 months ago - Pushed at: over 4 years ago - Stars: 26 - Forks: 40

P7h/StormTweetsSentimentD3Viz

Computes and visualizes the sentiment analysis of tweets of US States in real-time using Storm.

Language: Java - Size: 10.4 MB - Last synced at: about 1 year ago - Pushed at: over 10 years ago - Stars: 26 - Forks: 23

Sanghamitra1234/Major-Project-2019

This is our final year project. In this we are predicting election, results using Twitter Sentiment Analysis.

Language: Python - Size: 9.07 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 25 - Forks: 10

xdevplatform/weekly-tweet-sentiment

A tutorial which walks you through how you can create code that pulls your Tweets from the past 7 days and gives you a score to let you know exactly how your week has been.

Language: Jupyter Notebook - Size: 72.3 KB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 25 - Forks: 15

bwang482/tdparse

Code for "TDParse: Multi-target-specific sentiment recognition on Twitter", EACL, 2017

Language: Python - Size: 144 MB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 25 - Forks: 5

haicheviet/fullstack-machine-learning-inference

Fullstack machine learning inference template

Language: Jupyter Notebook - Size: 77.1 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 24 - Forks: 11

akshitvjain/realtime-twitter-trends-analytics

A big data project to develop a real-time data pipeline for analyzing the popularity and sentiments of trending topics on Twitter.

Language: Scala - Size: 50.6 MB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 23 - Forks: 8

north0n-FI/Twitter-moods-as-stock-price-predictors-on-Nasdaq

An attempt to predict next day's stock price movements using sentiments in tweets with cashtags. Six different ML algorithms were deployed (LogReg, KNN, SVM etc.). Main libraries used: Pandas & Numpy

Language: Jupyter Notebook - Size: 28 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 22 - Forks: 6

DarekarA/TwitterSentimentAnalysis_Public

Twitter Sentiment Analysis

Language: Jupyter Notebook - Size: 1.46 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 21 - Forks: 22

roshancyriacmathew/Twitter-sentiment-analysis-using-Python-Machine-Learning-Project-8

This project walks you on how to create a twitter sentiment analysis model using python. Twitter sentiment analysis is performed to identify the sentiments of the people towards various topics. For this project, we will be analysing the sentiment of people towards Pfizer vaccines. We will be using the data available on Kaggle to create this machine learning model. The collected tweets from Twitter will be analysed using machine learning to identify the different sentiments present in the tweets. The different sentiments identified in this project include positive sentiment, negative sentiment and neutral sentiment. We will also be using different classifiers to see which classifier gives the best model accuracy.

Language: Jupyter Notebook - Size: 1.7 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 20 - Forks: 3

stdatalabs/sparkNLP-elasticsearch

Twitter sentiment analysis using Spark and Stanford CoreNLP and visualization using elasticsearch and kibana

Language: Scala - Size: 8.79 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 20 - Forks: 10

emumba-com/live_twitter_sentiment_analysis

Live Twitter sentiment analysis using Python, Apache Spark Streaming, Kafka, NLTK, SocketIO

Language: JavaScript - Size: 62.5 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 20 - Forks: 11

laustindasauce/twitter-bot 📦

This script uses Python and Redis with Twitter API to run a fully automated twitter account.

Language: Python - Size: 3.15 MB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 19 - Forks: 3

TheCleverIdiott/SenMeter

sentimental analysis pcde

Size: 610 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 18 - Forks: 4

kaustav202/RealTime-TwitterDataAnalysis

Collect and process real time twitter data plotting various metrics like volume , proportion, sentiment. Analyze tweet node networks and map them geographically.

Language: Python - Size: 112 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 18 - Forks: 15

hrshtv/Twitter-Sentiment-Analysis

BiLSTM with Multi-Headed Self Attention for sentiment classification of Twitter data, implemented in Keras and PyTorch.

Language: Jupyter Notebook - Size: 8.01 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 18 - Forks: 3

Wazzabeee/pyspark-etl-twitter

Implementation of an ETL process for real-time sentiment analysis of tweets with Docker, Apache Kafka, Spark Streaming, MongoDB and Delta Lake

Language: Python - Size: 3.37 MB - Last synced at: 6 days ago - Pushed at: about 2 years ago - Stars: 16 - Forks: 4

devildances/TwitterSentimentAnalysis_Final_Project

Sentiment analysis for Twitter's tweet (in Indonesia language) was built with 3 models to get a comparison in determining which model gives the best results for predicting a tweet to have a positive or negative meaning.

Language: Jupyter Notebook - Size: 26.5 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 16 - Forks: 5

ankit2web/Twitter-Sentiment-Analysis-using-R-Shiny-WebApp 📦

A Simple Approach to Twitter Sentiment Analysis in R Programming Language

Language: R - Size: 588 KB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 16 - Forks: 16

avs-abhishek123/Twitter-Sentimental-Analysis

An AI project where we do web scrapping from Twitter API, find the sentimental analysis using bag-of-word model, & store it in a csv file.

Size: 99.6 KB - Last synced at: 5 months ago - Pushed at: about 2 years ago - Stars: 15 - Forks: 1

Data-Science-kosta/Twitter-Sentiment-Analysis-RoBERTa

Sentiment Analysis of tweets written in underused Slavic languages (Serbian, Bosnian and Croatian) using pretrained multilingual RoBERTa based model XLM-R on 2 different datasets.

Language: Jupyter Notebook - Size: 4.74 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 15 - Forks: 1

dD2405/Twitter_Sentiment_Analysis

Detecting whether a particular tweet contains negative emotions attached with it or not from the given dataset

Language: HTML - Size: 3.1 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 15 - Forks: 15

kishlayjeet/Zomato-Twitter-Sentiment-Analysis-Data-Pipeline

This project provides valuable customer sentiment insights for Zomato by tracking and analyzing tweets related to their brand and services.

Language: Python - Size: 22.5 KB - Last synced at: 27 days ago - Pushed at: over 1 year ago - Stars: 13 - Forks: 2

satsshark/TwitterUnofficialAPI

Twitter's internal API (unofficial). This module has been utilized by multiple Twitter bots. This module offers numerous additional benefits compared to the official Twitter APIs, including the ability to post up to 6000 tweets per day, support for Note tweets, tweet scheduling, Streaming of direct message, new followers, search etc

Size: 6.84 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 13 - Forks: 1

Jflick58/Easysentiment

GUI Application for Twitter Scraping and Sentiment Analysis.

Language: Python - Size: 135 KB - Last synced at: 7 days ago - Pushed at: almost 7 years ago - Stars: 13 - Forks: 5

caciitg/UTrack

UTrack analyses the user's tweets and finds the level of Loneliness, Stress and Anxiety, and their trends over time

Language: Python - Size: 57.4 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 12 - Forks: 8

engali94/Twitter-Account-Analyzer

Using various Python libraries such as Pandas, tweetPy, JSON ans matplotLib to take a sneak peek on your Twitter account using Google Colab.

Language: Python - Size: 40 KB - Last synced at: 13 days ago - Pushed at: over 4 years ago - Stars: 12 - Forks: 4

dogukanayd/Catch-Tweet-with-Keyword

Get Tweet by giving keyword and do keyword analysis

Language: Python - Size: 978 KB - Last synced at: 19 days ago - Pushed at: almost 7 years ago - Stars: 12 - Forks: 12

shovanch/twitter-sentiment-analysis

💬 🎭 Twitter sentiment analysis webapp

Language: Python - Size: 49.8 KB - Last synced at: 7 days ago - Pushed at: over 7 years ago - Stars: 12 - Forks: 8

Aveek-Saha/TwitterFakeNet

Classifying Verified used users on Twitter based on how likely they are to share Fake News articles

Language: Jupyter Notebook - Size: 259 MB - Last synced at: 28 days ago - Pushed at: almost 2 years ago - Stars: 11 - Forks: 2

panacloud/twitter

A repo to learn Twitter API and Bot development.

Language: TypeScript - Size: 14.6 KB - Last synced at: 29 days ago - Pushed at: about 3 years ago - Stars: 11 - Forks: 5

BinaryBlackhole/Pytorch-implementation-twitter-sentiment-analysis-using-RNN

Language: Python - Size: 7.27 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 11 - Forks: 3

SUBHADIPMAITI-DEV/Depression-Detection-System-Using-Machine-Learning

This project develops a Depression Detection System using Machine Learning on Twitter data. It predicts depression by analyzing tweets with SVM, Logistic Regression, Decision Trees, and NLTK in Python.

Language: Jupyter Notebook - Size: 4.95 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 10 - Forks: 2

labrijisaad/Twitter-Sentiment-Analysis-with-Python

I aim in this project to analyze the sentiment of tweets provided from the Sentiment140 dataset by developing a machine learning sentiment analysis model involving the use of classifiers. The performance of these classifiers is then evaluated using accuracy and F1 scores.

Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 2

code2k13/nlphose

Enables creation of complex NLP pipelines in seconds, for processing static files or streaming text, using a set of simple command line tools. Perform multiple operation on text like NER, Sentiment Analysis, Chunking, Language Identification, Q&A, 0-shot Classification and more by executing a single command in the terminal. Can be used as a low code or no code Natural Language Processing solution. Also works with Kubernetes and PySpark !

Language: Jupyter Notebook - Size: 2.38 MB - Last synced at: 5 days ago - Pushed at: over 3 years ago - Stars: 10 - Forks: 1

swapnanildutta/Sentinum--Sentiment-Analysis-using-Social-Media-Data

Sentiment Analysing algorithm to predict the emotional state of an individual based on the data input from the person's social media posts and interactions.

Size: 14.4 MB - Last synced at: 17 days ago - Pushed at: over 3 years ago - Stars: 10 - Forks: 5

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

bwang482/tdlstm

Tensorflow implementation of Target-dependent LSTM (Tang et al. 2016)

Language: Python - Size: 416 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 10 - Forks: 4

Wazzabeee/NLP_Unsupervised_Sentiment_Analysis_Elon_Musk

Notebook used to explore and classify 500,000 tweets about Elon Musk in an unsupervised manner.

Language: Jupyter Notebook - Size: 7.68 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 9 - Forks: 5

iojw/bluebird

Real-time sentiment analysis and visualization of Twitter

Language: TypeScript - Size: 15.3 MB - Last synced at: 28 days ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 3

ntedgi/NLP-HashTag-Parser

split lower case twitter hash tags by word entropy 🤯

Language: JavaScript - Size: 733 KB - Last synced at: about 1 hour ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 4

parthnagarkar875/Twitter-Profile-Analyzer

Analysis of a Twitter profile for discerning their preferences.

Language: Jupyter Notebook - Size: 862 KB - Last synced at: 29 days ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 4

rajaprerak/TwitterAnalysis

Twitter sentiment analysis of trending movies and songs.

Language: Python - Size: 273 KB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 9 - Forks: 4

FPT-ThaiTuan/Using-Word-Embeddings-for-Twitter-Sentiment-Analysis

The project researches sentiment analysis on Twitter, with the goal of evaluating the positivity, negativity or neutrality of comments. Using Word Embeddings, an advanced method in natural language processing, our model achieved a high accuracy of 96.61%. The model was trained on Twitter data and tested on a data comment dataset from Binance.

Language: Jupyter Notebook - Size: 12.5 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 0

imadhou/multimodal-sentiment-analysis

Multimodal sentiment analysis

Language: Jupyter Notebook - Size: 1.34 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 8 - Forks: 2

Arsh2k01/UTrack Fork of caciitg/UTrack

UTrack analyses the user's tweets and finds the level of Loneliness, Stress, and Anxiety, and their trends over time

Language: Python - Size: 56.9 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 8 - Forks: 5

psy-pri/twitter-analyser

Web application for sentiment analysis of tweets.

Language: Python - Size: 53.7 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 3

yogeshnile/Twitter-Sentiment-Analysis-on-Flask-App

In this repo i created a twitter sentiment analysis on flask app (web base).

Language: Python - Size: 2.5 MB - Last synced at: 13 days ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 6

DavideNardone/TwitterSentimentAnalysis

A Spark Streaming implementation for Online Twitter Sentiment Analysis.

Language: Python - Size: 1.78 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 8 - Forks: 3

namuan/tweetsense

Filters tweets based on sentiment analysis

Language: JavaScript - Size: 527 KB - Last synced at: 22 days ago - Pushed at: about 1 year ago - Stars: 7 - Forks: 0

rishikonapure/Cryptocurrency-Sentiment-Analysis

A Real-Time Cryptocurrency Price and Twitter Sentiments Analysis

Language: Jupyter Notebook - Size: 5.35 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 0

ErcinDedeoglu/Twitter-Trend-Topics

📊📈🐦🌎🔥🔗📚📊📈 This repository tracks the top trending topics on Twitter from around the world.

Size: 1.1 GB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 7 - Forks: 2

prathikshetty2002/NLP-Guide

NLP basics and applied ML

Language: Python - Size: 33.2 KB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 7 - Forks: 2

horacioe14/crypto_sentiment_analysis_project

Final project for Ironhack Data Analytics Bootcamp: Compare correlation of the price performance of a cryptocurrency with the sentiment of over 20,000 Tweets deployed on Streamlit web framework.

Language: Jupyter Notebook - Size: 360 KB - Last synced at: 6 months ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 0

AGiannoutsos/Twitter-Sentiment-Analysis-with-LSTMs-ELMo

Twitter Sentiment analysis using RNS like LSTMs, GRUs and enhancing the performance with ELMo embeddings and a self-attention model

Language: Jupyter Notebook - Size: 15.7 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 7 - Forks: 0

teomores/epl-oracle

Predicting EPL results improving the betting odds.

Language: Jupyter Notebook - Size: 23 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 1

rohanrao619/Twitter_Sentiment_Analysis

Sentiment classification using a Bi-LSTM network. Uses NLTK for corpus preprocessing and GloVe for word representation.

Language: Jupyter Notebook - Size: 290 KB - Last synced at: 10 days ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 6

Aveek-Saha/Sentiment-based-stock-price-forecasting

Apple Stock Price Forecasting using Sentiment Analysis

Language: Jupyter Notebook - Size: 106 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 4

P7h/p7hb-docker-mllib-twitter-sentiment

:ship: Docker image for Twitter Sentiment analysis with Spark MLlib

Language: Shell - Size: 138 KB - Last synced at: about 1 year ago - Pushed at: almost 8 years ago - Stars: 7 - Forks: 3

ThisIs-Developer/Sentiment-Analysis-of-Covid-19-Tweets 📦

Texts from twitter has been collected to decide the impact, it has been causing the public .We took a testing dataset and used neural network – Model training for testing the retrieved tweets and gain prediction of the sentiments from their tweets.

Language: Jupyter Notebook - Size: 2.13 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 1

giannisdravilas/Sentiment-Analysis-Covid19-Tweets

💉📱 Sentiment Analysis of Covid19 tweets fetched from Twitter, using various Data Mining techniques and Machine Learning algorithms.

Language: Jupyter Notebook - Size: 413 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 6 - Forks: 3

NeekJK/Tweetoxicity

An AI Powered Behavioral Analysis Web Application

Language: HTML - Size: 251 MB - Last synced at: 4 months ago - Pushed at: almost 3 years ago - Stars: 6 - Forks: 1

FirasHabri/nlp_twitter

Sentiment analysis of Arabic sport related Twitter data

Language: Jupyter Notebook - Size: 848 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 6 - Forks: 1

netisheth/Churn-Prediction-and-Analysis

Extracted live tweets of customers by using Twitter APIs to create automatic rule-based churn detection algorithm for Verizon, AT&T and T-Mobile.

Language: Jupyter Notebook - Size: 1.2 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 5

anushka23g/Twitter-sentiment-Analysis

In this project we have built a model which takes a dataset as an input andas an output gives the percentage of posive ,negative and neutral tweets in the given dataset. It is done using natural language processing library using scikit learn machine learning libraries such as textblob.

Language: Jupyter Notebook - Size: 10.7 KB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 3