Performing Interest Mining on Tweets of Twitter Users for Recommending Other Users with Similar Interests

Author:

Sharma Richa,Uniyal Shashank,Gera Vaishali

Publisher

Springer Singapore

Reference19 articles.

1. Alec, G., Lei, H., Bhayani, R.: Twitter sentiment analysis. Final Projects from CS224N for Spring 2008/2009 at The Stanford Natural Language Processing Group (2009)

2. Cha, M., Haddadi, H., Benevenuto, F., Gummadi, K.P.: Measuring user influence in twitter: the million follower fallacy. In: International AAAI Conference on Weblogs and Social Media (2010)

3. Company|About (Twitter). Retrieved from https://about.twitter.com/company 26 May 2017

4. Guy, I., Avraham, U., Carmel, D., Ur, S., Jacovi, M., Ronen, I.: Mining expertise and interests from social media. In: International World Wide Web Conference, Rio de Janiero, Brazil (2013)

5. Hennessy, A.: Sentiment Analysis of Twitter Using Knowledge Based and Machine Learning Techniques (2014)

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