نتایج جستجو برای: blogs
تعداد نتایج: 4236 فیلتر نتایج به سال:
Blogs are mainly posted in languages where users may not always use accurate and exact grammatically correct language and sometimes short form of the words and sentences are used. this work proposes a unique technique of opinion polarity mining from both RSS feed and stored blog posts without using machine learning and with the help of forward scanning algorithm i.e. TF-IDF[15]. The method firs...
Objective This paper presents our approach on design and development of an integrated semantic platform to capture the domain knowledge on vaccine sentiments, beliefs, and behaviours using ontologies. The vaccine sentiment ontology (VASON) provides more structure around the vast amount of unstructured data scattered over blog posts to facilitate blog content analysis, and discovering patterns o...
Web logs (or blogs) have become a means for citizens to share opinions and deliberate on local issues. However, the large number of blogs makes finding and exploring content of interest relatively difficult. We developed a tool that displays citizen-to citizen discussion in blogs and reveals some similarity across blog entries. Through association and content analysis, blog entries are linked t...
This paper aims to contribute towards the comprehension of the adhesion of adolescent to digital technologies and their usage in the search for or consolidation of relationships with their peers. The objective was to analyze the role of blogs in the maintenance and establishment of relationships among adolescents from the State of Espírito Santo, Brazil. Three boys’ blogs and three girls’ blogs...
The present study concerns the content of MySpace blogs and whether it differs from the blog style found on sites specifically designed for blogging. A content analysis of MySpace blogs was conducted to investigate trends in purpose, format, and style and to compare these across sex and age categories. Most blogs were written in a positive tone, and the main motivations for blogging appeared to...
This paper describes a clustering method to group the most similar and important weblogs with their descriptive shared words by using a technique from multilinear algebra known as PARAFAC tensor decomposition. The proposed method first creates labeled-link network representation of the weblog datasets, where the nodes are the blogs and the labels are the shared words. Then, 3-way adjacency tens...
Web logs (or blogs) have become a means for citizens to share opinions and deliberate on local issues. However, the large number of blogs makes finding and exploring content of interest relatively difficult. We are developing a tool to display citizen-tocitizen discussion in blogs and to reveal some similarity across blog entries. Through association and content analysis, blog entries are linke...
We use a combination of text analysis and external knowledge sources to estimate the commercial taste of bloggers from their text; our methods are evaluated using product wishlists found in the blogs. Initial results are promising, showing that valuable insights can be mined from blogs, not just at the aggregate but also at the individual blog level.
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