This paper presents a new topic modelling framework inspired by game theoretic principles. It is formulated as a normal form game in which words are ...
This paper presents a new topic modelling framework inspired by game theoretic principles. It is formulated as a normal form game in which words are represented ...
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Jun 10, 2024 · Accordingly, this paper aims to evaluate the performance of three topic modelling algorithms LDA, NMF and BERTopic–as utilised within game ...
Jan 25, 2018 · Topic 5 focuses on words that sound like spooky mysteries happening at night, in houses with doors, and events that you see or hear, topic 1 is ...
Mar 25, 2021 · A simple unsupervised solution that might work is to encode all your records using the sentence embeddings of your choice, store the encoded ...
However, this study aims to draw a general picture for the topic of serious games for education over 55 years. Considering the reviews, it is clear that they ...
We conducted a comprehensive analysis of a large dataset from “Top Video Games 1995–2021—Metacritic” on Kaggle, containing 18,800 entries on video game reviews, ...
Aug 25, 2023 · Explore topic modeling in-depth, from fundamentals to visualizations with pyLDAvis, including LDA and LDA Mallet Model usage.
Topic modeling is a type of statistical modeling that uses unsupervised Machine Learning to identify clusters or groups of similar words within a body of text.
Purpose–The purpose of this thesis is to investigate the game reviews and to see how the natural language processing can be used to analyze game reviews.