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diff --git a/Chapter10/.ipynb_checkpoints/CHAPTER_10_MOVIES_RECOMMENDATIONS-checkpoint.ipynb b/Chapter10/.ipynb_checkpoints/CHAPTER_10_MOVIES_RECOMMENDATIONS-checkpoint.ipynb
diff --git a/Chapter10/.ipynb_checkpoints/Untitled-checkpoint.ipynb b/Chapter10/.ipynb_checkpoints/Untitled-checkpoint.ipynb
diff --git a/Chapter10/.ipynb_checkpoints/moviesRecommendation-checkpoint.ipynb b/Chapter10/.ipynb_checkpoints/moviesRecommendation-checkpoint.ipynb
diff --git a/Chapter10/CHAPTER_10_MOVIES_RECOMMENDATIONS.ipynb b/Chapter10/CHAPTER_10_MOVIES_RECOMMENDATIONS.ipynb
diff --git a/Chapter10/movies.csv b/Chapter10/movies.csv
diff --git a/Chapter10/reviews.csv b/Chapter10/reviews.csv
diff --git a/Chapter11/.ipynb_checkpoints/CHAPTER11_TWITTER-checkpoint.ipynb b/Chapter11/.ipynb_checkpoints/CHAPTER11_TWITTER-checkpoint.ipynb
diff --git a/Chapter11/.ipynb_checkpoints/CHAPTER11_TWITTER_SENTIMENT_ANALYSIS-checkpoint.ipynb b/Chapter11/.ipynb_checkpoints/CHAPTER11_TWITTER_SENTIMENT_ANALYSIS-checkpoint.ipynb
diff --git a/Chapter11/.ipynb_checkpoints/Wordcloud twitter-checkpoint.ipynb b/Chapter11/.ipynb_checkpoints/Wordcloud twitter-checkpoint.ipynb
diff --git a/Chapter11/.ipynb_checkpoints/tweeterEnglish-checkpoint.ipynb b/Chapter11/.ipynb_checkpoints/tweeterEnglish-checkpoint.ipynb
diff --git a/Chapter11/CHAPTER11_TWITTER.ipynb b/Chapter11/CHAPTER11_TWITTER.ipynb
diff --git a/Chapter11/CHAPTER11_TWITTER_SENTIMENT_ANALYSIS.ipynb b/Chapter11/CHAPTER11_TWITTER_SENTIMENT_ANALYSIS.ipynb
diff --git a/Chapter11/Output/Media_SentimentAnalysis.csv b/Chapter11/Output/Media_SentimentAnalysis.csv
diff --git a/Chapter11/Output/Sentiment Analysis of Media Tweets.png b/Chapter11/Output/Sentiment Analysis of Media Tweets.png
diff --git a/...ord-Counter-using-PySpark-master/.ipynb_checkpoints/Streaming Word Count-checkpoint.ipynb b/...ord-Counter-using-PySpark-master/.ipynb_checkpoints/Streaming Word Count-checkpoint.ipynb
diff --git a/Chapter11/Word-Counter-using-PySpark-master/Pride_and_Prejudice.txt b/Chapter11/Word-Counter-using-PySpark-master/Pride_and_Prejudice.txt
diff --git a/Chapter11/Word-Counter-using-PySpark-master/README.md b/Chapter11/Word-Counter-using-PySpark-master/README.md
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+# Live Streaming word-counter using PySpark
+
+I have taken the text file format of The Pride and Prejudice novel as an input for the word counter. This is done using live streaming. Other inputs like tweets from twitter and facebook can also be integrated in the code. It is made efficient by using spark which uses in-memory parallel processing. Thus, it can handle large streaming data and can deliver outputs faster than other methods.
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		# Live Streaming word-counter using PySpark

		I have taken the text file format of The Pride and Prejudice novel as an input for the word counter. This is done using live streaming. Other inputs like tweets from twitter and facebook can also be integrated in the code. It is made efficient by using spark which uses in-memory parallel processing. Thus, it can handle large streaming data and can deliver outputs faster than other methods.