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://dzone.com/articles/streaming-machine-learning-pipeline-for-sentiment/ 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 Analysis of different trends in COVID-19 cases with Spark tutorial]


'''2) Sentiment analysis with pyspark:'''
'''2) Sentiment analysis with pyspark:'''


*[https://towardsdatascience.com/sentiment-analysis-with-pyspark-bc8e83f80c35/ Sentiment Analysis with pyspark]
*[https://towardsdatascience.com/sentiment-analysis-with-pyspark-bc8e83f80c35/ Sentiment Analysis with pyspark]
'''3) Real-time Analysis of different trends in COVID-19 cases with Spark'''
**[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]

Revision as of 15:29, 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 pyspark:

3) Real-time Analysis of different trends in COVID-19 cases with Spark