134 Open source projects that are alternatives of or similar to live_twitter_sentiment_analysis

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and T…

Real Time Twitter Sentiment Analysis Product

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

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Natural Language Processing notes and implementations.

Sentiment Analysis of a Twitter Topic with Spark Structured Streaming

Sentiment analysis and opinion mining of Reddit data.

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

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A Rust library for listening on Twitter Streaming API.

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Repo containing the Twitter preprocessor module, developed by the AUTH OSWinds team

A real time analytics dashboard to analyze the trending hashtags and @ mentions at any location using kafka and spark streaming.

WASP is a framework to build complex real time big data applications. It relies on a kind of Kappa/Lambda architecture mainly leveraging Kafka and Spark. If you need to ingest huge amount of heterogeneous data and analyze them through complex pipelines, this is the framework for you.

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基于spark-ml,spark-mllib,spark-streaming的推荐算法实现

A Go wrapper for Twitter's V2 Filtered Stream API

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This app allows you to automate Twitter liking for specific keywords, hashtags, or even full sentences. The bot uses streaming API which means that everything happens in real time.

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Data Analysis Using Hadoop/Spark/Storm/ElasticSearch/MachineLearning etc. This is My Daily Notes/Code/Demo. Don't fork, Just star !