My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.

An overview of the AI-as-a-service landscape

Opinion Analysis of News, Threaded Conversations, and User Generated Content

豆瓣电影爬虫——a crawler which is able to crawl movie detail and short comments, save them to database mysql, also include Sentiment analysis based on comments

Java port of Python NLTK Vader Sentiment Analyzer. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

A real time Tweet Trend Map and Sentiment Analysis web application with kafka, Angular, Spring Boot, Flink, Elasticsearch, Kibana, Docker and Kubernetes deployed on the cloud

Sentiment analysis for Twitter and social media

A stock portfolio manager that provides neural net based short-term predictions for stocks and natural language processing based analysis on community sentiments.

Sentiment Analysis using Stanford CoreNLP.

Document Enrichment plugin for Elasticsearch

Twitter Mining in Java

3rd Year University Undergraduate dissertation project, supervised by https://www.nottingham.ac.uk/computerscience/people/thomas.gaertner focusing on using Natural Language Processing, AI Portfolio Optimisation and Machine Learning to produce an Automated Trading Agent. Received 89% overall.

SentiSE is a sentiment analysis tool for Software Engineering interactions

Java sample codes on how to integrate with tensorflow

Sentiment Analysis with Incremental Learning

Elasticsearch plugin for Sentiment Analysis using Stanford CoreNLP

Apache NiFi Custom Processor for working with Stanford CoreNLP for Sentiment Analysis in Java 8

A MapReduce program to conduct sentiment analysis of a keyword from a list of comments.

Twitter based sentiment analysis using JAVA and Hadoop. In this project we are doing the sentiment analysis on twitter data to analyse whether the tweets posted by people are positive or negative or neutral by checking the tweets with the AFFIN dictionary which has a set of 2500 words along with the value of each word ranging from -5 to +5 denot…

[ICDM2017] Aspect Sentiment Model for Micro Reviews