Apply CNN on word embeddings of twitter data to predict sentiment of tweets.
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Apr 11, 2017 - Jupyter Notebook
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twitter-sentiment
Here are 10 public repositories matching this topic...
This project focuses on the relation between twitter sentiment and bitcoin price fluctuations. There has to be an unidentified correlation between the two of them as our studies suggest.
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Jan 5, 2022 - Python
An analysis of Sentiments on Election Day in Karnataka State Elections (India) 2018 using R.
r twitter sentiment-analysis politics twitter-api elections twitter-sentiment-analysis election-day twitter-sentiment karnataka-state-elections narendra-modi extract-tweets rahul-gandhi
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Aug 9, 2020 - R
Cross-Domain Sentiment Analysis (CD-SA)
nlp machine-learning sentiment-analysis xgboost bert twitter-sentiment sbert cross-domain-adaptation
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Mar 16, 2025 - Jupyter Notebook
Trading bot for Robinhood 📈💸
python finance trading trading-bot stock-market pyhton robinhood technical-analysis algorithmic-trading twitter-sentiment rag llm
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Nov 10, 2025 - Python
Analyzing the sentiment of twitter tweets for a particular key word. This analysis is based on the tweet only.
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Nov 20, 2019 - Python
sentiment analysis of textual documents (reviews, twitters) using different learning architectures (doc2vec, LSTM)
word2vec naive-bayes-classifier sentimental-analysis nlp-machine-learning doc2vec svm-classifier twitter-sentiment imdb-dataset
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Mar 7, 2020 - Python
End-to-end Twitter sentiment analysis using NLP and Logistic Regression on the Sentiment140 dataset, including text preprocessing, TF-IDF vectorization, model training, evaluation, and persistence.
python nlp data-science machine-learning natural-language-processing sentiment-analysis text-classification scikit-learn nltk logistic-regression twitter-sentiment kaggle-dataset sentiment140 tfdif
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Jan 27, 2026 - Jupyter Notebook
Crowdsourced Annotation Tool for Twitter Sentiment
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Jun 12, 2017 - JavaScript
Real-time Tweet Sentiment Analysis using Spark, Stanford NLP, ElasticSearch and Kibana
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Mar 29, 2017 - Scala
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