Article onSentiment Analysis
on Twitter

The sentiment analysis on twitter messages are based on these four steps
ACCESS:  Access the twitter API. Poling limit 100-150 in single fetch. Use the API Authentication. I used the PHP authentication scheme

COLLECT:  Streaming the API, but the problem was duplication of data. Solution: With the use of Since ID we schedule the data and getting every minute unique result

ANALYZE:  We analyze the data using the MySql’s Natural search. We clean the data and remove all symbols and character and make the data in Alpha numeric format. And then use Solr to analyze the count of positive and negative words on the basis of our algorithms.
STORE:  Finally update the polarity of the data in the database where all the tweets are saved. And generate the graph

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