Logistic Regression Method for Sarcasm Detection of Text Data
نویسندگان
چکیده
منابع مشابه
Fast Logistic Regression for Data Mining, Text Classification and Link Detection
Previous work by the authors [1] demonstrated that logistic regression can be a fast and accurate data mining tool for life sciences datasets, competitive with modern tools like support vector machines and balltree based K-NN. This paper has two objectives. The first objective is a serious empirical comparison of logistic regression to several classical and modern learners on a variety of learn...
متن کاملSparse Logistic Regression for Text Categorization
This paper studies regularized logistic regression and its application to text categorization. In particular we examine a Bayesian approach, lasso logistic regression, that simultaneously selects variables and provides regularization. We present an efficient training algorithm for this approach, and show that the resulting classifiers are both compact and have state-of-the-art effectiveness on ...
متن کاملHybrid Method of Logistic Regression and Data Envelopment Analysis for Event Prediction: A Case Study (Stroke Disease)
Abstract Predictive analytics is an area of statistics that deals with extracting information from data and using it to predict trends and behavior patterns. Many mathematical modeling has been developed and used for prediction, and in some cases, they have been found to be very strong and reliable. This paper studies different mathematical and statistical approaches for events prediction. The ...
متن کاملDistributed Newton Method for Regularized Logistic Regression
Regularized logistic regression is a very successful classification method, but for large-scale data, its distributed training has not been investigated much. In this work, we propose a distributed Newton method for training logistic regression. Many interesting techniques are discussed for reducing the communication cost. Experiments show that the proposed method is faster than state of the ar...
متن کاملSample size determination for logistic regression
The problem of sample size estimation is important in medical applications, especially in cases of expensive measurements of immune biomarkers. This paper describes the problem of logistic regression analysis with the sample size determination algorithms, namely the methods of univariate statistics, logistics regression, cross-validation and Bayesian inference. The authors, treating the regr...
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: International Journal of Computer Applications
سال: 2019
ISSN: 0975-8887
DOI: 10.5120/ijca2019919451