Practical session, Spark streaming for sentiment analysis: Difference between revisions

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'''1) Sentiment analysis with Apache Spark streaming and MLlib:'''
'''1) Sentiment analysis with Apache Spark streaming and MLlib:'''


*[https://developer.ibm.com/clouddataservices/2016/01/15/real-time-sentiment-analysis-of-twitter-hashtags-with-spark/ Real-time Sentiment Analysis of Twitter Hashtags with Spark tutorial]
*[https://community.ibm.com/community/user/watsonstudio/blogs/sharyn-richard1/2020/04/15/analysis-of-johns-hopkins-covid-19-case-data/ Real-time Sentiment Analysis of Twitter Hashtags with Spark tutorial]


'''2) Sentiment analysis with IBM Bluemix:'''
'''2) Sentiment analysis with IBM Bluemix:'''


*[https://developer.ibm.com/clouddataservices/2016/01/15/real-time-sentiment-analysis-of-twitter-hashtags-with-spark/ Real-time Sentiment Analysis of Twitter Hashtags with Spark and IBM Bluemix]
*[https://developer.ibm.com/clouddataservices/2016/01/15/real-time-sentiment-analysis-of-twitter-hashtags-with-spark/ Real-time Sentiment Analysis of Twitter Hashtags with Spark and IBM Bluemix]

Revision as of 15:25, 29 October 2020

Practical Session

Sentiment analysis with Apache Spark streaming and MLlib


More useful links

1) Sentiment analysis with Apache Spark streaming and MLlib:

2) Sentiment analysis with IBM Bluemix: