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Sentiment analysis: A review and comparative analysis of web services
Sentiment Analysis (SA), also called Opinion Mining, is currently one of the most studied
research fields. It aims to analyze people's sentiments, opinions, attitudes, emotions, etc …
research fields. It aims to analyze people's sentiments, opinions, attitudes, emotions, etc …
[PDF][PDF] Hybrid tools and techniques for sentiment analysis: a review
Sentiment analysis and opinion mining is closely coupled with each other. An extensive
research work is being carried out in these areas by using different methodologies …
research work is being carried out in these areas by using different methodologies …
Machine learning methods for stylometry
J Savoy - Cham: Springer, 2020 - Springer
With the recent progress made in network and computing technology, the ubiquity of data,
and textual repositories freely available, the scientific practice evolves towards a more data …
and textual repositories freely available, the scientific practice evolves towards a more data …
Learning stylometric representations for authorship analysis
Authorship analysis (AA) is the study of unveiling the hidden properties of authors from
textual data. It extracts an author's identity and sociolinguistic characteristics based on the …
textual data. It extracts an author's identity and sociolinguistic characteristics based on the …
Distance measures in author profiling
Determining some demographics about the author of a document (eg, gender, age) has
attracted many studies during the last decade. To solve this author profiling task, various …
attracted many studies during the last decade. To solve this author profiling task, various …
Language models and fusion for authorship attribution
We deal with the task of authorship attribution, ie identifying the author of an unknown
document, proposing the use of Part Of Speech (POS) tags as features for language …
document, proposing the use of Part Of Speech (POS) tags as features for language …
Likelihood ratio estimation for authorship text evidence: An empirical comparison of score-and feature-based methods
S Ishihara, M Carne - Forensic Science International, 2022 - Elsevier
This study compares score-and feature-based methods for estimating forensic likelihood
ratios for text evidence. Three feature-based methods built on different Poisson-based …
ratios for text evidence. Three feature-based methods built on different Poisson-based …
[PDF][PDF] Authorship analysis studies: A survey
SEM El, I Kassou - International Journal of Computer Applications, 2014 - academia.edu
Authorship Analysis Studies: A Survey Page 1 International Journal of Computer Applications
(0975 – 8887) Volume 86 – No 12, January 2014 22 Authorship Analysis Studies: A Survey …
(0975 – 8887) Volume 86 – No 12, January 2014 22 Authorship Analysis Studies: A Survey …
A simple and efficient algorithm for authorship verification
This paper describes and evaluates an unsupervised and effective authorship verification
model called S patium‐L1. As features, we suggest using the 200 most frequent terms of the …
model called S patium‐L1. As features, we suggest using the 200 most frequent terms of the …
Is Starnone really the author behind Ferrante?
J Savoy - Digital Scholarship in the Humanities, 2018 - academic.oup.com
Elena Ferrante is a pen name known worldwide, authoring novels such as the bestseller My
Brilliant Friend. A recent study indicates that the true author behind these books is probably …
Brilliant Friend. A recent study indicates that the true author behind these books is probably …