Language Model Adaptation based on Topic Probability of Latent Dirichlet Allocation

Language model adaptation using latent dirichlet allocation and an efficient topic inference algorithm

We present an effort to perform topic mixture-based language model adaptation using latent Dirichlet allocation (LDA). We use probabilistic latent semantic analysis (PLSA) to automatically cluster a heterogeneous training corpus, and train an LDAmodel using the resultant topicdocument assignments. Using this LDA model, we then construct topic-specific corpora at the utterance level for interpol...

Topic Models - Latent Dirichlet Allocation

Automatic keyword extraction using Latent Dirichlet Allocation topic modeling: Similarity with golden standard and users' evaluation

Purpose: This study investigates the automatic keyword extraction from the table of contents of Persian e-books in the field of science using LDA topic modeling, evaluating their similarity with golden standard, and users' viewpoints of the model keywords. Methodology: This is a mixed text-mining research in which LDA topic modeling is used to extract keywords from the table of contents of sci...

Decentralized Topic Modelling with Latent Dirichlet Allocation

Privacy preserving networks can be modelled as decentralized networks (e.g., sensors, connected objects, smartphones), where communication between nodes of the network is not controlled by a master or central node. For this type of networks, the main issue is to gather/learn global information on the network (e.g., by optimizing a global cost function) while keeping the (sensitive) information ...

Reader’s Emotion Prediction Based on Partitioned Latent Dirichlet Allocation Model

Different from traditional emotion analysis which focuses on the identification of emotions from the text, this research aims to predict the reader’s emotion for given text. Regarding reader emotion as the response to the text, emotion prediction may be transferred to a classification problem which classifies the text into the categories causing different emotions. In this study, we propose an ...