The aim of this work is to study the feasibility of an automated classification of books in the social network Zazie by means of the lexical analysis of book blurbs. A supervised learning approach is used to determine if a correlation between the characteristics of a book blurb and the emotional icons associated to the book by the Zazie's users exists
Stylometric analysis in text classification is most often used in authorship attribution studies. Th...
This paper presents an approach to compare and classify books written in the Polish language by comp...
The analysis of literary works has experienced a surge in computer-assisted processing. To obtain in...
Abstract. The aim of this work is to study the feasibility of an automated classification of books i...
Sentiment Analysis and Opinion Mining are receiving increasing attention in many sectors because kno...
We describe work on automatically assigning labels to books using user-defined tags as the label set...
In Storytel’s application on which a user can read and listen to digitalized literature, a user is d...
In this thesis, we compare the bag of words approach with doc2vec doc- ument embeddings on the task ...
Recent years have seen the rapid deployment of Artificial Intelligence (AI) which allows systems to ...
International audienceThe emergence of social media allows users to get opinions, suggestions, or re...
Objective: Develop an automated classifier for the classification of bibliographic material by means...
A book cover can convey a lot about the content of the book. Despite the adage to not evaluate somet...
Libraries have used book reviews to support their decision on book selection and collection building...
Abstract The amount of unstructured data grows with the popularization of the Internet. Texts in nat...
Blurb is created to help the reader to answer the question why he should spend his time and money on...
Stylometric analysis in text classification is most often used in authorship attribution studies. Th...
This paper presents an approach to compare and classify books written in the Polish language by comp...
The analysis of literary works has experienced a surge in computer-assisted processing. To obtain in...
Abstract. The aim of this work is to study the feasibility of an automated classification of books i...
Sentiment Analysis and Opinion Mining are receiving increasing attention in many sectors because kno...
We describe work on automatically assigning labels to books using user-defined tags as the label set...
In Storytel’s application on which a user can read and listen to digitalized literature, a user is d...
In this thesis, we compare the bag of words approach with doc2vec doc- ument embeddings on the task ...
Recent years have seen the rapid deployment of Artificial Intelligence (AI) which allows systems to ...
International audienceThe emergence of social media allows users to get opinions, suggestions, or re...
Objective: Develop an automated classifier for the classification of bibliographic material by means...
A book cover can convey a lot about the content of the book. Despite the adage to not evaluate somet...
Libraries have used book reviews to support their decision on book selection and collection building...
Abstract The amount of unstructured data grows with the popularization of the Internet. Texts in nat...
Blurb is created to help the reader to answer the question why he should spend his time and money on...
Stylometric analysis in text classification is most often used in authorship attribution studies. Th...
This paper presents an approach to compare and classify books written in the Polish language by comp...
The analysis of literary works has experienced a surge in computer-assisted processing. To obtain in...
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