… has become known as ‘Twitter mining’ (also known … Twitter for Twitter mining. In addition,
this paper reviews a number of the applications that employ Twitter Mining, investigating Twitter …

… This hashtag implicitly classifies the method that is used by Twitter to organize its tweets.
In other words, mining users’ interests from social media can amplify a number of efficacies, …

… This paper presents a method based on a Takagi-Sugeno-Kang (TSK) fuzzy system called
… news on Twitter about infectious diseases with epidemic potential. In developing the method, …

… of great interest, with a plethora of applications. In this paper, we present a methodology for
identifying user communities on Twitter. Initially, Twitter features such as the shared content, …

… In this paper specifically we focus on an application of Twitter that is achieving increasing …
Twitter backchanneling data provide a more focused opportunity for SM mining. Examples …

… twitter data for varied purposes. Chung and Mustafara [1] examined the predictive power of
social media (especially, the Twitter) using sentiment analysis methods … Twitter Application …

… Fig 1 shows the general methodology used in the Twitter data analysis. The … of Micro blogging
site twitter on the current trends and issues. The opinion mining on Twitter data helps us to …

… an application that uses Twitter Data for opinion mining political … a method to ease and smooth
the task of opinion mining with the … The proposed method pre-process the Twitter data and …

… An add-on implementing intelligent methods for Twitter topic mining. … managing, mining
and visualizing all this information. This is especially relevant if one considers that Twitter has no …

… REST APIs1, which allows to obtain data through applications using programming language…
Mining twitter for airline consumer sentiment. Practical text mining and statistical analysis for …