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fetching realtime twitter data, storing in nosql db, analyzing the datasets, text searching & retrieving information

Python 100.00%

twitter-api python mongodb kafka spotfire oracle

streamingdata-search-analysis's Introduction

Analyzing Real time twitter data

Description:

Transforming realtime twitter stream and storing them in a data storage.
Parsing over the tweets and derving meaning insights from it.
Searching for results based on input keywords

Analysis:

Twitter Reacts 'President Trump'
- dashboard: https://spotfire.cloud.tibco.com/spotfire/wp/render/dyuHI9GrdEXvoWo3i1/analysis?file=/users/anagrawa/Public/twitter_reacts_trump&waid=e68zpoAeXUOuKzmQMKR5i-0420231da9tCH0&wavid=0
Deriving people’s sentiments for the presidential candidates
- Dashboard: https://spotfire.cloud.tibco.com/spotfire/wp/OpenAnalysis?file=84784eb5-ded0-4cb4-aeac-23e17fbc3ada
US states sentiments and Acitvities
- Dashboard: https://spotfire.cloud.tibco.com/spotfire/wp/render/QZGmidrJVAwGE15CfM/analysis?file=/users/anagrawa/Public/twitterDataAnalysis&waid=tcpVDzeF_UOtKK_qv2Vv7-1803055da5xPpJ&wavid=0

Workflow:

twitter-API -> pipeline -> load -> analyze

Formatting the realtime twitter data : cleaning up data (encoding unicode text, initializing locations) and sotring them in MongoDB
Access the documents from MongoDB and transform jason data into tabular format and store extracted results in oracle database
Accessing the database with TIBCO Spotfire to build business intelligence dashbards
Ability to stream real-time twitter feed and derive analysis
Text search control, providing valid results based on keyword search in twitter text data. a. List of related tweets b. List of Top retweets c. List of top location d. List of related keywords, hashtags

Screenshots:

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