Practical session, Spark streaming for sentiment analysis: Difference between revisions
From info319
No edit summary |
No edit summary |
||
| (One intermediate revision by the same user not shown) | |||
| Line 1: | Line 1: | ||
'''Practical Session''' | '''Practical Session''' | ||
* I will share the jupyter notebook (which contains the python code) and dataset during the practical session | |||
'''Sentiment analysis with Apache Spark streaming and MLlib''' | '''Sentiment analysis with Apache Spark streaming and MLlib''' | ||
* [https://wiki.uib.no/info319/index.php/File:GuideS6.pdf Guide to Sentiment analysis] | * [https://wiki.uib.no/info319/index.php/File:GuideS6.pdf Guide to Sentiment analysis] | ||
* [https://github.com/tthustla/setiment_analysis_pyspark/blob/master/Sentiment%20Analysis%20with%20PySpark.ipynb Sentiment Analysis with Pyspark] | * [https://github.com/tthustla/setiment_analysis_pyspark/blob/master/Sentiment%20Analysis%20with%20PySpark.ipynb Sentiment Analysis with Pyspark] | ||
Latest revision as of 15:48, 29 October 2020
Practical Session
- I will share the jupyter notebook (which contains the python code) and dataset during the practical session
Sentiment analysis with Apache Spark streaming and MLlib
More useful links
1) Sentiment analysis with Apache Spark streaming and MLlib:
- Sentiment analysis with Apache Spark streaming and MLlib] or | Real-time Sentiment Analysis of Twitter data with Spark Streaming and MLlib
2) Sentiment analysis with pyspark:
3) Real-time Analysis of different trends in COVID-19 cases with Spark
