About

A topic model is a type of statistical model for discovering the abstract "topics" that occur in a collection of documents. Topic modeling is a frequently used text-mining tool for the discovery of hidden semantic structures in a text body.

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Datasets

Latest papers with code

Unsupervised Graph-based Topic Modeling from Video Transcriptions

4 May 2021JaTrev/unsupervised_graph-based

To unfold the tremendous amount of audiovisual data uploaded daily to social media platforms, effective topic modelling techniques are needed.

TOPIC MODELS WORD EMBEDDINGS

0
04 May 2021

OCTIS: Comparing and Optimizing Topic models is Simple!

19 Apr 2021mind-Lab/octis

In this paper, we present OCTIS, a framework for training, analyzing, and comparing Topic Models, whose optimal hyper-parameters are estimated using a Bayesian Optimization approach.

BAYESIAN OPTIMISATION TOPIC MODELS

157
19 Apr 2021

Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic Modeling

11 Apr 2021aaronmueller/contextualized-topic-models

Neural topic models can augment or replace bag-of-words inputs with the learned representations of deep pre-trained transformer-based word prediction models.

CROSS-LINGUAL TRANSFER GENERAL CLASSIFICATION TOPIC CLASSIFICATION TOPIC MODELS

0
11 Apr 2021

Exploring Topic-Metadata Relationships with the STM: A Bayesian Approach

6 Apr 2021PMSchulze/topic-metadata-stm

Topic models such as the Structural Topic Model (STM) estimate latent topical clusters within text.

TOPIC MODELS

0
06 Apr 2021

Topic Scaling: A Joint Document Scaling -- Topic Model Approach To Learn Time-Specific Topics

31 Mar 2021sami-diaf/Topic-Scaling

This paper proposes a new methodology to study sequential corpora by implementing a two-stage algorithm that learns time-based topics with respect to a scale of document positions and introduces the concept of Topic Scaling which ranks learned topics within the same document scale.

TOPIC MODELS

0
31 Mar 2021

Using Transformer based Ensemble Learning to classify Scientific Articles

19 Feb 2021SDPRA-2021/shared-task

The first one is a RoBERTa [10] based model built over these abstracts.

TOPIC MODELS

2
19 Feb 2021

Scalable Cross-lingual Document Similarity through Language-specific Concept Hierarchies

15 Dec 2020cbadenes/crosslingual-semantic-similarity

With the ongoing growth in number of digital articles in a wider set of languages and the expanding use of different languages, we need annotation methods that enable browsing multi-lingual corpora.

TOPIC MODELS

1
15 Dec 2020

EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation

9 Dec 2020tools-only/Evasion-Attack-against-LDA-Model

As one of the most powerful topic models, Latent Dirichlet Allocation (LDA) has been used in a vast range of tasks, including document understanding, information retrieval and peer-reviewer assignment.

INFORMATION RETRIEVAL SENTIMENT ANALYSIS TOPIC MODELS

1
09 Dec 2020

TopicModel4J: A Java Package for Topic Models

28 Oct 2020soberqian/TopicModel4J

Topic models provide a flexible and principled framework for exploring hidden structure in high-dimensional co-occurrence data and are commonly used natural language processing (NLP) of text.

LEMMATIZATION TOPIC MODELS

17
28 Oct 2020

On a Guided Nonnegative Matrix Factorization

22 Oct 2020jvendrow/GuidedNMF

Fully unsupervised topic models have found fantastic success in document clustering and classification.

TOPIC MODELS

5
22 Oct 2020