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different keywords or entities to form a more comprehensive view. The proposed solution aims to combine social media data and semantic linked data to extract relevant information and capture the relationship among the entities from content shared by the audience. With a targeted audience profiling, company is able to spend
with an accuracy of 79.26% is better than SVM with an accuracy of 69.32%. In summary, SSPs are younger, have more statuses, more tweets in succession, and contain keywords that differentiate a spam profile from a non-spam profile.
data, while Concept Maps keep this exploration focused by linking data patterns (e.g., occurrence and frequency of keywords) to underlying dynamics (e.g., coordination of activism, salience of violence). We illustrate the potential of our approach through a discussion of how it could be used to study the on-going Syrian
In this paper, we propose a new method of classifying tendencies and opinions in texts of multiple sentence length extracted from social media and covering both formal and informal vocabularies. To extract contextual information from the texts, we carry out computations based on keywords, the position of the sentence
difficulty due to the large size of the list of words in a thesaurus. In this paper, we present a new method for solving the problem of text categorization over a corpus of newspaper articles where the annotation must be composed of thesaurus elements. The method consists of applying lemmatization, obtaining keywords and named
Media coverage of Direct-to-Consumer (DTC) genetic testing shapes public perception of such testing. The purpose of this study was to determine and assess the themes presented by U.S. news media regarding DTC genetic testing. We performed a Lexis-Nexis search with the keywords “Direct-to-Consumer” and “genetic test
social media websites play more and more important role as information sources for travelers. The paper selects nine Chinese excellent tourism cities as sample with different city level, population size and geographic location, uses six main travel-related keywords to study empirically social media impact on online
similar product images on shopping websites, ranking product tags by text aggregation, and re-search textual items consisting of semantic meaningful tags to make a recommendation. In addition, users can choose automatically suggested keywords to reflect their intentions. Subjective evaluation has demonstrated the
, therefore, designed to investigate the number and content of published news stories focused on cancers from 2000 to 2007 in China main newspapers. Methods A content analysis was performed on cancer articles in a database of important Chinese newspapers, with “cancer” or “leukemia” (癌或白血病) in title taken as keywords
Folksonomy systems enable users to participate in the Web content creation process by annotating (tagging) resources with freely chosen keywords. Still, it is an open issue how to exploit this user-created content, and how to process and use these emergent semantics effectively. We investigate how the context of Web
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