We are not able to deal with a mammoth text corpus without summarizing them into a
relatively small subset. A computational tool is extremely needed to understand such a …

Analyzing short texts infers discriminative and coherent latent topics that is a critical and
fundamental task since many real-world applications require semantic understanding of …

Short text classification has been widely explored in news tagging to provide more efficient
search strategies and more effective search results for information retrieval. However, most …

Text preprocessing is not only an essential step to prepare the corpus for modeling but also
a key area that directly affects the natural language processing (NLP) application results. For …

This work creates and makes publicly available the most comprehensive dataset to date
regarding climate change and human opinions via Twitter. It has the heftiest temporal …

Social media platforms such as (Twitter, Facebook, and Weibo) are being increasingly
embraced by individuals, groups, and organizations as a valuable source of information …

Background Internet provides different tools for communicating with patients, such as social
media (eg, Twitter) and email platforms. These platforms provided new data sources to shed …

This research presents a novel aggregating method for constructing an aggregated topic
model that is composed of the topics with greater coherence than individual models. When …

E-commerce users may expect different products even for the same query, due to their
diverse personal preferences. It is well known that there are two types of preferences: long …

Purpose Do consumers rate reviews describing other consumers' sensory experience of a
product (touch, smell, sight, hear and taste) as helpful or do they rate reviews describing …