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Cleaned a messy JSON file of the tweets and extensively used JSON Serde to create Tables and found insights on Demographics of users who tweeted. Also assigned a polarity score to each tweet with a positive/negative score.

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nishanthgampa/Sentiment_Analysis_using_Hadoop_Hive

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Sentiment_Analysis_using_Hadoop_Hive

• Assigned polarity score for each tweet and determined if it had positive or negative sentiment.

• Determined frequency count of hashtags used.

• Found most active users and total tweets by each state, also determined top 10 users based on followers count.

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Cleaned a messy JSON file of the tweets and extensively used JSON Serde to create Tables and found insights on Demographics of users who tweeted. Also assigned a polarity score to each tweet with a positive/negative score.

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