کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4946193 1439277 2017 21 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A survey on trends of cross-media topic evolution map
ترجمه فارسی عنوان
یک نظرسنجی در مورد روند تکامل نقشه موضوع در میان رسانه ها
کلمات کلیدی
چند رسانه ای، تکامل موضوع، نقشه موضوعی، مدل مولد احتمالاتی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
Rapid advancements in internet and social media technologies have made “information overload” a rampant and widespread problem. Complex subjects, histories, or issues break down into branches, side stories, and intertwining narratives; a “topic evolution map” can assist in joining together and clarifying these disparate parts of an unfamiliar territory. This paper reviews the extant research on topic evolution map based on text and cross-media corpora over the past decade. We first define a series of necessary terms, then go on to describe the traditional topic evolution map per 1) topic evolution over time, based on the probabilistic generative model, and 2) topic evolution from a non-probabilistic perspective. Next, we discuss the current state of research on topic evolution map based on the cross-media corpus, including some open questions and possible future research directions. The main contribution of this review is in its construction of an evolution map that can be used to visualize and integrate the extant studies on topic modeling - specifically in regards to cross-media research.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Knowledge-Based Systems - Volume 124, 15 May 2017, Pages 164-175
نویسندگان
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