A WL-SPPIM Semantic Model for Document Classification

05/26/2017
by   Ming Li, et al.
0

In this paper, we explore SPPIM-based text classification method, and the experiment reveals that the SPPIM method is equal to or even superior than SGNS method in text classification task on three international and standard text datasets, namely 20newsgroups, Reuters52 and WebKB. Comparing to SGNS, although SPPMI provides a better solution, it is not necessarily better than SGNS in text classification tasks. Based on our analysis, SGNS takes into the consideration of weight calculation during decomposition process, so it has better performance than SPPIM in some standard datasets. Inspired by this, we propose a WL-SPPIM semantic model based on SPPIM model, and experiment shows that WL-SPPIM approach has better classification and higher scalability in the text classification task compared with LDA, SGNS and SPPIM approaches.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 2

page 3

page 4

02/10/2018

TextZoo, a New Benchmark for Reconsidering Text Classification

Text representation is a fundamental concern in Natural Language Process...
03/04/2020

SeMemNN: A Semantic Matrix-Based Memory Neural Network for Text Classification

Text categorization is the task of assigning labels to documents written...
10/28/2020

A Chinese Text Classification Method With Low Hardware Requirement Based on Improved Model Concatenation

In order to improve the accuracy performance of Chinese text classificat...
09/29/2020

Natcat: Weakly Supervised Text Classification with Naturally Annotated Datasets

We seek to improve text classification by leveraging naturally annotated...
09/01/2019

Topics to Avoid: Demoting Latent Confounds in Text Classification

Despite impressive performance on many text classification tasks, deep n...
07/12/2018

Orthogonal Matching Pursuit for Text Classification

In text classification, the problem of overfitting arises due to the hig...
12/22/2020

Uncertainty and Surprisal Jointly Deliver the Punchline: Exploiting Incongruity-Based Features for Humor Recognition

Humor recognition has been widely studied as a text classification probl...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.