[HTML][HTML] A systematic review of the use of topic models for short text social media analysis
Recently, research on short text topic models has addressed the challenges of social media
datasets. These models are typically evaluated using automated measures. However, recent …
datasets. These models are typically evaluated using automated measures. However, recent …
[HTML][HTML] The landscape of public procurement research: a bibliometric analysis and topic modelling based on Scopus
A Rejeb, K Rejeb, A Appolloni, Y Kayikci… - Journal of Public …, 2023 - emerald.com
Purpose The purpose of this study is to investigate the structure and dynamics of academic
articles relating to public procurement (PP) in the period 1984–2022 (up to May). The …
articles relating to public procurement (PP) in the period 1984–2022 (up to May). The …
Data analytics, innovation, and firm productivity
We examine the relationship between data analytics capabilities and innovation using
detailed firm-level data. To measure innovation, we first utilize a survey to capture two types …
detailed firm-level data. To measure innovation, we first utilize a survey to capture two types …
Text classification method based on self-training and LDA topic models
M Pavlinek, V Podgorelec - Expert Systems with Applications, 2017 - Elsevier
Supervised text classification methods are efficient when they can learn with reasonably
sized labeled sets. On the other hand, when only a small set of labeled documents is …
sized labeled sets. On the other hand, when only a small set of labeled documents is …
Exploring the political agenda of the european parliament using a dynamic topic modeling approach
This study analyzes the political agenda of the European Parliament (EP) plenary, how it
has evolved over time, and the manner in which Members of the European Parliament …
has evolved over time, and the manner in which Members of the European Parliament …
[HTML][HTML] Selection of the optimal number of topics for LDA topic model—taking patent policy analysis as an example
J Gan, Y Qi - Entropy, 2021 - mdpi.com
This study constructs a comprehensive index to effectively judge the optimal number of
topics in the LDA topic model. Based on the requirements for selecting the number of topics …
topics in the LDA topic model. Based on the requirements for selecting the number of topics …
[图书][B] Text mining: A guidebook for the social sciences
G Ignatow, R Mihalcea - 2016 - books.google.com
Online communities generate massive volumes of natural language data and the social
sciences continue to learn how to best make use of this new information and the technology …
sciences continue to learn how to best make use of this new information and the technology …
Copycats vs. original mobile apps: A machine learning copycat-detection method and empirical analysis
While the growth of the mobile apps market has created significant market opportunities and
economic incentives for mobile app developers to innovate, it has also inevitably invited …
economic incentives for mobile app developers to innovate, it has also inevitably invited …
Does campaigning on social media make a difference? Evidence from candidate use of Twitter during the 2015 and 2017 UK elections
Political campaigning on social media is a core feature of contemporary democracy.
However, evidence of the effectiveness of this type of campaigning is thin. This study tests …
However, evidence of the effectiveness of this type of campaigning is thin. This study tests …
Topic2Labels: A framework to annotate and classify the social media data through LDA topics and deep learning models for crisis response
The abundant use of social media impacts every aspect of life, including crisis management.
Disaster management needs real-time data to be used in machine learning and deep …
Disaster management needs real-time data to be used in machine learning and deep …