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:// | |||
'''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
- 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 pyspark:
3) Real-time Analysis of different trends in COVID-19 cases with Spark