A serverless tweet analyser that's built using Google Natural Language API, Slack and Webtask
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tweet-sentiment-analysis
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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
python data-science twitter deep-learning sentiment-analysis word2vec tweepy twitter-sentiment-analysis kaggle-sentiment-analysis skipgram lstm-neural-networks tweet-sentiment-analysis us-airline-dataset tweet-classification text-sentiment-classification kaggle-airline-dataset kaggle-us-airlines
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Source code for Twitter's Recommendation Algorithm.
recommendations twitter twitter-api recommender recommendation-system recommendation-engine recommender-system recommendation twitter-sentiment-analysis recommender-systems recommendation-algorithms twitter-recommendation-engine tweet-analysis twitter-recommendation-algorithm recommendation-algorithm tweet-sentiment-analysis twitter-source recommender-algorithm twitter-software twitter-algorithm
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Tweet Text Writer Recognition Application
jupyter-notebook nlp-machine-learning tweet-analysis tweet-data tweet-sentiment-analysis pthon tweet-classification nlp-data-to-text
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Analysing Of Tweet Sentiments Using Supervised Learning Classification Algorithms
python nlp machine-learning eda logistic-regression decision-tree-classifier svm-classifier lemmatization tweet-analysis stemming-algorithm tweet-sentiment-analysis xgboost-classifier coronavirus
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The repository contains the stance detection from twitter data project Code and Documentation
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A tweet sentiment analysis app using Node.js and vanilla JS.
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Ukraine Russia war tweet Analysis using Natural Language Processing NLP (Sentimental Analysis)
python nlp data-science sentiment-analysis pandas data-visualization wordcloud twitter-sentiment-analysis data-cleaning nlp-machine-learning word-embedding tweet-sentiment-analysis random-forest-classifier tweets-scraper kfold-data-splitting russia-ukraine ukrainewar ukraine-war russia-ukraine-war
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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.
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python sentiment-classification tweet-sentiment-analysis tweets-classification tweet-sentiment-classification roberta-model
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Fine-tuning RoBERTa sentiment analysis model on tweets about the Coachella 2015 music festival lineup
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Bitcoin Tweet Sentiment & Topic Analysis
nlp natural-language-processing sentiment-analysis tweet tweet-analysis synthetic-data tweet-sentiment-analysis real-data
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This project implements a complete NLP pipeline for Persian tweets to classify topics and detect fake news. Using a Random Forest classifier, it compares tweet content with trusted news sources, achieving 70% accuracy in fake news detection.
machine-learning natural-language-processing twitter-api random-forest clustering supervised-learning pca tweepy social-network-analysis nlp-machine-learning data-scraping news-classification tweet-sentiment-analysis random-forest-classifier tweets-classification fake-news-classification fake-news-detection misinformation-spreads misinformation-detection
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Interactive web interface of the twitter sentimental tool
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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.
javascript css python html machine-learning deep-learning sentiment-analysis machine-learning-algorithms wordcloud datascience statistical-analysis classification tweepy nlp-machine-learning sentiment-classification tweet-sentiment-analysis advancedanalytics tweet-classification
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This is a simple Flask-based web application that uses the Twitter API v2 to fetch recent tweets based on a keyword and performs sentiment analysis using TextBlob. It classifies each tweet as Positive, Negative, or Neutral.
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Sentiment categorization system using classical ML algorithms for tweets | A2 for COL772 course (Fall 21)
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Tweet Intelligence : a sophisticated approach to extracting deep insights from tweet data using state-of-the-art generative AI and large language models.
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Welcome to the repo where I test different NLP ideas 🤖 & 📝
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Implementation of Covid-19 sentiment analysis with python using Natural Language Toolkit Library
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