This dissertation uses digital humanities methods and computational linguistic tools to perform a sentiment analysis on a corpus of 18 th century Moravian English personal memoirs. This historical corpus contains important similarities to modern natural language text, requiring …
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Muslim radicalism is recognized as one of the greatest security threats for the United States and the rest of the world. Use of force to eliminate specific radical entities is ineffective in containing radicalism as a whole. There is a need to understand the origin, ideologies a…
Language plays a very important role in understanding the culture and mindset of people. Given the abundance of electronic multilingual data, it is interesting to see what insight can be gained by automatic analysis of text. This in turn calls for text analysis which is focused …
A large proportion of World Wide Web (WWW) users treat it as a social medium, i.e. many of them use the WWW to express and communicate their opinions. Economic value or utility can be created if these utterances, reactions, or feedback are extracted from various social media pla…
With the upsurge of Web 2.0, customers are able to share their opinions and feelings about products and services, politics, economic shifts, current events and any number of other topics on the Web. This information, if leveraged effectively, can provide rich and valuable insigh…
There has been much hype in vocational and academic circles surrounding the emergence of web 2.0 or social media; however, relatively little work was dedicated to substantiating the actual concept of web 2.0. Many have dismissed it as not deserving of this new title, since the t…
The ways people express their opinions and sentiments have radically changed in the past few years thanks to the advent of social networks, web communities, blogs, wikis and other online collaborative media. The distillation of knowledge from this huge amount of unstructured inf…
Subjectivity and sentiment analysis (SSA) is the process of identifying non-factual aspects of language (e.g., opinions, feelings) in a given text and possibly assigning a positive or negative valence to such aspects. Although SSA research on English has achieved considerable su…
Sentiment analysis has recently become one of the growing areas of research related to natural language processing and machine learning. Much opinion and sentiment about specific topics are available online, which allows several parties such as customers, companies and even gove…
Through the convergence of disability studies and literary cognitive studies, Autistic Characters: (de)coding embedded sentiment explores depictions of autistic characters in literature with the use of close readings and scaled readings, a computational analytics method which us…
This research presented the deployment of data mining on social media and structured data in urban studies. We analyzed urban relocation, air quality and traffic parameters on multicity data as early work. We applied the data mining techniques of association rules, clustering an…