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Found 5 papers, 3 papers with code
Apples to Apples: A Systematic Evaluation of Topic Models
In this paper, we present a selection of 9 topic modelling techniques from the state of the art reflecting a diversity of approaches to the task, an overview of the different metrics used to compare their performance, and the challenges of conducting such a comparison.
A Multilingual Benchmark to Capture Olfactory Situations over Time
We present a benchmark in six European languages containing manually annotated information about olfactory situations and events following a FrameNet-like approach.
TOMODAPI: A Topic Modeling API to Train, Use and Compare Topic Models
From LDA to neural models, different topic modeling approaches have been proposed in the literature.
One Configuration to Rule Them All? Towards Hyperparameter Transfer in Topic Models using Multi-Objective Bayesian Optimization
Topic models are statistical methods that extract underlying topics from document collections.
Two Stages Approach for Tweet Engagement Prediction
This paper describes the approach proposed by the D2KLab team for the 2020 RecSys Challenge on the task of predicting user engagement facing tweets.
