The central idea is to compute the entropy of a document in different contexts and assign it to the category where the entropy is maximal. Only word ...
Jan 3, 2017 · The central idea is to compute the entropy of a document in different contexts and assign it to the category where the entropy is maximal. Only ...
The results show that the language of the text, in the challenging case of short texts, can be accurately identified, matching state of the art approaches ...
This work introduces a language identification approach designed to work with noisy and short texts, that identifies one or two language per input. Our ...
This paper describes a new approach to text categorization that is simple, easy to code and needs no training time (aside from histogram computations).
People also ask
What is the entropy of language?
What is an example of language detection?
What are the benefits of language detection?
Edgar Chávez, Moises Garcia, Jesús Favela: Fast and Accurate Language Detection in Short Texts using Contextual Entropy. Res. Comput. Sci.
In this paper we describe a new approach to text categorization, our focus is in the amount of information (the entropy) in the text.
Oct 6, 2020 · The master thesis objective is to explore how a neural network can be created to identify languages from short texts from internet platforms.
A contextual entropy model was proposed to expand a set of seed words by discovering similar emotion words and their corresponding intensities from online ...
Missing: Short | Show results with:Short
Jun 10, 2019 · With our tool, subjects were able to detect fake text with an accuracy of over 72% without any prior training. By presenting this information ...