A Logistic Regression Model of Irony Detection in Chinese Internet Texts
نویسندگان
چکیده
منابع مشابه
A Logistic Regression Model of Irony Detection in Chinese Internet Texts
The research of sentiment analysis has become fascinating with the support of emerging Internet language material. In this paper, irony in Chinese is investigated as a sentiment that has not been meticulously studied. We describe here a set of features and their computational formalization for detecting irony at a linguistic level. Comments from online forum are collected and detected whether i...
متن کاملIn Logistic Regression Model
Logistic regression with binary and multinomial outcomes is commonly used, and researchers have long searched for an interpretable measure of the strength of a particular logistic model. This article describes the large sample properties of some pseudo-R statistics for assessing the predictive strength of the logistic regression model. We present theoretical results regarding the convergence an...
متن کاملMultiple Logistic Regression and Model Fit Multiple Logistic Regression Just as in OLS regression, logistic models
Multiple Logistic Regression Just as in OLS regression, logistic models can include more than one predictor. The analysis options are similar to regression. One can choose to select variables, as with a stepwise procedure, or one can enter the predictors simultaneously, or they can be entered in blocks. Variations of the likelihood ratio test can be conducted in which the chi-square test (G) is...
متن کاملA Comparative Study on Logistic Regression Model and PCA-Logistic Regression Model in Medical Diagnosis
Logistic regression is a simple statistical tool used in binary classification. LR is useful for situations in which we want to predict the presence or absence of a characteristic or outcome based on values of a set of predictor variables. Unlike LR, PCA is another technique used in feature extraction and in dimensionality reduction. This paper puts forth the experimental results of LR model an...
متن کاملPredicting Factors of INSURE Failure in Low Birth Weight Neonates with RDS; A Logistic Regression Model
Background:Respiratory Distress syndrome is the most common respiratory disease in premature neonate and the most important cause of death among them. We aimed to investigate factors to predict successful or failure of INSURE method as a therapeutic method of RDS.Methods:In a cohort study,45 neonates with diagnosed RDS and birth weight lower than 1500g were included and they underwent INSURE fo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Research in Computing Science
سال: 2015
ISSN: 1870-4069
DOI: 10.13053/rcs-90-1-19