نتایج جستجو برای: mining lexicon
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Given a controversial issue, argument mining from texts in natural language is extremely challenging: besides linguistic aspects, domain knowledge is often required together with appropriate forms of inferences to identify arguments. Via the analysis of various corpora, this contribution explores the types of knowledge that are required to develop an efficient argument mining system. We show th...
-In our daily life we take opinion of our friends and are influenced by them in our decision making process. Opinion is the view or judgement about something. With the advent of web 2.0, the number of Social Networking Sites (SNS) has increased manifold. With these has increased the volume of users generated content. Sentiment Analysis (SA) or Opinion Mining (OM) is the computational analysis o...
Statistical approaches to text mining can be enhanced and improved through the qualitative representation of free text – ideally, a representation which accommodates ambiguity and imprecision. We introduce a specialized lexicon that assigns semantic categories to words, together with numeric values for centrality and intensity within each category. From this lexicon, we automatically generate a...
Opinion Lexicons are linguistic resources annotated with semantic orientation of terms (positive and negative) and are important for opinion mining tasks. In the literature we see a variety of proposals for the construction of opinion lexicons using different linguistic resources and techniques. In this work, we propose and evaluate the integration of such linguistic resources to create a singl...
The internet offers a powerful medium for expressing opinions, emotions and ideas, using online platforms supported by smartphone usage high penetration. Most posts are textual based can include people’s emotional feelings particular moment or sentiment. Monitoring sentiments opinions is important detecting any excessive triggered citizens which lead to unintended consequences threats national ...
In recent years, with the rapid growth of social media, such as forums, blog, discussion boards and social networks, people can freely express and respond to opinion on variety of topics. Reading and understanding of the huge amount of reviews are not possible for individuals and companies. Opinion mining and sentiment analysis aims to extract, process of the opinionated text and present them f...
This technical report presents the work carried out at the University of Lugano on TREC 2014 Federated Web Search track. The main motivation behind our approach is to provide better coverage of opinions that are present in federated resources. On the resource selection and vertical selection steps, we apply opinion mining to select opinionated resources/verticals given a user’s query. We do thi...
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