GitHub - janimalav/TwitterData_Semantic_Ananlysis: Implemented an ETL project to analyze streaming Twitter data for lexical-base syntactic and sentiment analysis using Python. Used MapReduce, Apache Spark, and IBM Cognos to determine various trends from extracted tweets. Used Neo4j for visualizing and managing complex data in a structured manner.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
1. Twitter Data Cleaning		1. Twitter Data Cleaning
2. Reuter News Articles		2. Reuter News Articles
3. Data Processing Using MapReduce		3. Data Processing Using MapReduce
4. Neo4J Graph_cql		4. Neo4J Graph_cql

About

Implemented an ETL project to analyze streaming Twitter data for lexical-base syntactic and sentiment analysis using Python. Used MapReduce, Apache Spark, and IBM Cognos to determine various trends from extracted tweets. Used Neo4j for visualizing and managing complex data in a structured manner.

apache-spark ibmcognos mapreduce neo4j rlanguage unsupervised-learning