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://community.ibm.com/community/user/watsonstudio/blogs/sharyn-richard1/2020/04/15/analysis-of-johns-hopkins-covid-19-case-data/ Real-time | *[https://community.ibm.com/community/user/watsonstudio/blogs/sharyn-richard1/2020/04/15/analysis-of-johns-hopkins-covid-19-case-data/ Real-time Analysis of different trends in COVID-19 cases 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 15:26, 29 October 2020
Practical Session
Sentiment analysis with Apache Spark streaming and MLlib
- Guide to Sentiment analysis
- | Real-time Sentiment Analysis of Twitter data with Spark Streaming and MLlib
More useful links
1) Sentiment analysis with Apache Spark streaming and MLlib:
2) Sentiment analysis with IBM Bluemix: