[PDF] Top 20 A hashtag recommendation system for twitter data streams

... and Twitter is one of the most prevalent micro-blogging platforms today, with over 200 million active users posting tweets, a message limited to 140 characters ...to Twitter activities, resulting in over ... See full document

... The data can be further extracted from twitter to draw meaningful insights on a specific ...This data, drawn from twitter can be consider legitimate feedback from the customers or user, ... See full document

... the system, the algorithmic timeline algorithm studies all the tweets from the accounts been followed by the user and gives each tweet a relevance score based on different factors relating to tweet, author of the ... See full document

... The current most successful algorithms to recommend followees is in the form of hybrid algorithms. Armentano et al. [2011] combine collaborative filtering information, popularity and number of men- tions in order to make ... See full document

... Two fundamental elements which show up in any recommender framework are the client (suggestion supplier or proposal searcher) and the thing. A client is an individual who uses the recommender framework giving his ... See full document

... Sina-Weibo is a Twitter-like microblogging system in China provided by Sina, one of the largest Chinese Internet content providers. It was launched in August, 2009 and quickly become the most popular ... See full document

... Prof. Alka Leekha Shreyas Upadhye, Pratik Ahire, Pranav Pawar [4] depicts that, The suggestion is the most vital element in any sort of online client driven application. Such Systems are utilized to expand the ... See full document

... detection system based on Twitter streams analysis is ...The system architecture is service-oriented and event-driven, and is composed of three main modules, namely: i) Fetch of SUMs and Pre ... See full document

... This paper proposes a semantic similar- ity based novel approach, to assign or rec- ommend a hashtag to a given tweet. The work uses a Latent Dirichlet Allocation (LDA) based learning approach. In the training ... See full document

... our system is based on a very extensive set of company and geo-location en- tities, entity linking is particularly ...Additionally, Twitter allows users to tag locations in a ... See full document

... Educational Data Mining Learning Analytics and educational data mining are data- driven approaches emerging in ...analyse data generated in educational settings to understand students and ... See full document

... and Twitter messages, not only in terms of varied levels of accuracy, but also due to different locations from where users are talking; to whom users are talking; and, to which location users send their ... See full document

... Along with the rapid development of social media, many people write brief text updates about their life on the go. Among these thousands of millions of microblogs posted every day, some contain # in front of words or ... See full document

... obtains recommendation sets for the service of each ...of recommendation for each user and sort the services for user according to the degree of recommendation of the ...of recommendation ... See full document

... A news stream can be defined as a continuous transmission or flow of information related to one or more topics with specific news updates as well. The news transmissions are done through web } sites or through a ... See full document

... that data can be biased ...and Twitter are supposed to implement fact verification algorithms to filter out false information and promote official information ...main data comes from Google Trends ... See full document

... NER system for detecting persons, organizations and locations which exploits an external global knowledge base on entities to disambiguate NE ...unsupervised system for ex- tracting (no classification) NEs ... See full document

... source data sparseness in recommendation ...recommender system for television ...reduced data sparseness in the original scoring ...incremental recommendation algorithm based on ... See full document

... In addition to the limited number of characters in the content, microblogs also contain a form of metadata tag (hashtag), which is a string of characters preceded by the symbol (#). Hashtags are used to mark the ... See full document

... to hashtag use by multiple languages as a complex phenomena where shared hashtag enti- ties exist on a graded scale from simple borrow- ing to fully signaling code ...our data is made available to ... See full document