Topic Model Supervised by Understanding Map

10/12/2021
by   Gangli Liu, et al.
Tsinghua University
0

Inspired by the notion of Center of Mass in physics, an extension called Semantic Center of Mass (SCOM) is proposed, and used to discover the abstract "topic" of a document. The notion is under a framework model called Understanding Map Supervised Topic Model (UM-S-TM). The devise aim of UM-S-TM is to let both the document content and a semantic network – specifically, Understanding Map – play a role, in interpreting the meaning of a document. Based on different justifications, three possible methods are devised to discover the SCOM of a document. Some experiments on artificial documents and Understanding Maps are conducted to test their outcomes. In addition, its ability of vectorization of documents and capturing sequential information are tested. We also compared UM-S-TM with probabilistic topic models like Latent Dirichlet Allocation (LDA) and probabilistic Latent Semantic Analysis (pLSA).

READ FULL TEXT
11/25/2019

Discovering topics with neural topic models built from PLSA assumptions

In this paper we present a model for unsupervised topic discovery in tex...
01/12/2015

Autodetection and Classification of Hidden Cultural City Districts from Yelp Reviews

Topic models are a way to discover underlying themes in an otherwise uns...
12/02/2015

Probabilistic Latent Semantic Analysis (PLSA) untuk Klasifikasi Dokumen Teks Berbahasa Indonesia

One task that is included in managing documents is how to find substanti...
05/23/2013

A Supervised Neural Autoregressive Topic Model for Simultaneous Image Classification and Annotation

Topic modeling based on latent Dirichlet allocation (LDA) has been a fra...
12/17/2012

A Tutorial on Probabilistic Latent Semantic Analysis

In this tutorial, I will discuss the details about how Probabilistic Lat...
11/05/2021

Investigation of Topic Modelling Methods for Understanding the Reports of the Mining Projects in Queensland

In the mining industry, many reports are generated in the project manage...

Please sign up or login with your details

Forgot password? Click here to reset