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: 24 days ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 1

chilas/tweet-analyza

A serverless tweet analyser that's built using Google Natural Language API, Slack and Webtask

Language: JavaScript - Size: 3.91 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 1

NisanurBulut/NLP_Tweet_IDentify

Tweet Text Writer Recognition Application

Language: Jupyter Notebook - Size: 1.3 MB - Last synced at: 28 days ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 0

siddeshlc8/stance-detection

The repository contains the stance detection from twitter data project Code and Documentation

Language: Jupyter Notebook - Size: 28.9 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 3 - Forks: 3

adam-aalah/Tweet-Sentiment-Classification

Language: Jupyter Notebook - Size: 7.12 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

frikishaan/tweet-sentiment-analysis

A tweet sentiment analysis app using Node.js and vanilla JS.

Language: HTML - Size: 43 KB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

efecanxrd/Turkish-Sentiment-Analysis

Turkish series tweets' sentiment analysis with Bert-base Turkish Sentiment Model

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shaheerAlam1/ukarine-russia-war-tweet-analysis-using-NLP

Ukraine Russia war tweet Analysis using Natural Language Processing NLP (Sentimental Analysis)

Language: Jupyter Notebook - Size: 1.41 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

kishon45229/RedBricks

RedBricks is a FastAPI web app for tweet sentiment analysis using a pre-trained LSTM model. It provides an API for sentiment prediction and is deployed on Koyeb with an automated CI/CD pipeline via GitHub Actions. For deployment details, refer to the linked Medium article.

Language: Python - Size: 8.03 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

EudaLabs/investor-sentiments

Bitcoin Tweet Sentiment & Topic Analysis

Language: Jupyter Notebook - Size: 121 MB - Last synced at: 5 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

mmuzammil196/french-game-tweets-toxicity-detection

Welcome to our project, where we leverage advanced sentiment analysis techniques to detect and classify toxic content in game-related tweets. Our goal is to develop a predictive model that can accurately identify toxicity based on the language used in these tweets.

Language: Jupyter Notebook - Size: 796 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

Azie88/Coachella-Tweet-Sentiment-Analysis

Fine-tuning RoBERTa sentiment analysis model on tweets about the Coachella 2015 music festival lineup

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NeilFabiao/Random-NLP-Projects

Welcome to the repo where I test different NLP ideas 🤖 & 📝

Language: Jupyter Notebook - Size: 3.72 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

MD-Ryhan/Tweet-Emotion-Recognition

In this project, we're going to create a recommend neural network and create it on a tweet emotion data set to learn to recognize emotions in tweets.

Language: Jupyter Notebook - Size: 177 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

MJ-API-Development/Intelligent-EOD-Stock-Financial-News-API

An Intelligent EOD Stock & Financial News, and Social Media Stock Sentiment Analysis API

Size: 13.7 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

gauravmalakar08/Coronavirus-Tweet-Sentiment-Analysis

Analysing Of Tweet Sentiments Using Supervised Learning Classification Algorithms

Language: Jupyter Notebook - Size: 21.8 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

sarufi-io/SentimentAnalysis_NLTK

Implementation of Covid-19 sentiment analysis with python using Natural Language Toolkit Library

Language: Jupyter Notebook - Size: 1.02 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

subhalingamd/nlp-tweet-sentiment

Sentiment categorization system using classical ML algorithms for tweets | A2 for COL772 course (Fall 21)

Language: Python - Size: 53.4 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

kingyiusuen/tweet-sentiment-extraction

Extract words that supports a tweet's sentiment

Language: Python - Size: 136 KB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

puskini33/sentiment-analysis-tweets

This project is developed in line with the Curriculum of the Frauenloop Intermediary Course in Machine Learning.

Language: Python - Size: 665 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

R-aryan/Tweet_Sentiment_Analysis

Tweet Sentiment Analysis end to to end implementation, based on kaggle dataset.

Language: Jupyter Notebook - Size: 62.9 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

AbdelGhafour69/tweet_sentiment_analysis

Language: Jupyter Notebook - Size: 198 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

the-it-weirdo/twitter-sentiment Fork of ran010/twitter-sentiment

The project divides the tweet into three different sentiments and create a wordcloud among them with most frequent used words. The project was submitted in OpenHacks 2020.

Size: 21.5 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

Sinha199/Sentiment_Extraction

Tweet sentiment extraction on kaggle

Language: Jupyter Notebook - Size: 17.9 MB - Last synced at: 9 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0