A Logistic Regression Model of Irony Detection in Chinese Internet Texts

An Impact Analysis of Features in a Classification Approach to Irony Detection in Product Reviews

Irony is an important device in human communication, both in everyday spoken conversations as well as in written texts including books, websites, chats, reviews, and Twitter messages among others. Specific cases of irony and sarcasm have been studied in different contexts but, to the best of our knowledge, only recently the first publicly available corpus including annotations about whether a t...

A multidimensional approach for detecting irony in Twitter

Irony is a pervasive aspect of many online texts, one made all the more difficult by the absence of face-to-face contact and vocal intonation. As our media increasingly become more social, the problem of irony detection will become even more pressing. We describe here a set of textual features for recognizing irony at a linguistic level, especially in short texts created via social media such a...

Internet Addiction and Its Relationship with Family Functioning in High School Students

Abstract Introduction: Family-related factors play an important role in adolescent’s addiction to the Internet. Objective: The aim of this study was to examine the relationship between Internet addiction and family functioning in high school students. Materials and Methods: This is an analytical  study with a cross-sectional design conducted on 796 high school students in Rasht city, Iran wh...

Combining Chinese spoken term detection systems via side-information conditioned linear logistic regression

This paper examines the task of Spoken Term Detection (STD) for the Chinese language. We propose to use Linear Logistic Regression (LLR) to combine various Chinese STD systems built with different decoding units, detection units, features and phone sets. In order to solve the missing-sample problem in STD system combination, side-information reflecting the reliability of the scores for fusion i...

Using Classic Discriminant Analysis and Detection Function for Separation of Chemical Victims in Sardasht City to Exposed and Non Exposure Mustard Groups in 2013 and Comparison with Logistic Regression