State of the Art Natural Language Processing

Streaming tweets with spark, language detection & sentiment analysis, dashboard with Kibana

An example of Twitter realtime analysis with Kubernetes, Flink, Kafka, Kafka Connect, Cassandra, Elasticsearch/Kibana, Docker, Sentiment Analysis, Xgboost and Websockets

Sentiment analysis using VADER in Scala

Streaming Twitter Sentiment Analysis with Apache Spark

Financial Forecasting and its correlation with Human Sentiments using Distributed Computing on Spark Framework

Classifies whether a particular tweet has positive or negative sentiment

Simple show case of consuming twitter api and performing sentiment analysis over tweets

personal project to pull live Twitter data using Nifi getTwitter processor and pushes to Kafka topic which is then consumed by a Spark Streaming application where basic sentiment analysis is performed and the final result is stored in elastic search for visualization using Kibana.

Real time twitter streams analysis

A Spark Streaming application that will continuously read data from Twitter about a topic. These Twitter feeds will be analyzed for their sentiment, and then analyzed using ElasticSearch. To exchange data between these two, you will use Kafka as a broker. Everything will be done locally on your computer

A content moderating system for social media feeds

data pipeline using the lambda architecture is created for the unification and consolidation of real-time customer web events, weblogs, and profile data into a hive warehouse for adhoc analysis.

Tweets sentiment analysis in Spark

Source Code for newssnips.fyi

PredictionIO sentiment analysis engine using OpenNLP

Spark NLP sentiment analysis applied on Spark Structured streaming

Sentiment Analysis project on tweets.

Twitter Sentiment Analyzing using Scala and Spark

This is the CSYE7200 FinalProject for Team2 Spring2017