Book Genre Classification Based on Reviews of Portuguese-Language Literature

Scofield, Clarisse; Silva, Mariana O.; Melo-Gomes, Luiza de; Moro, Mirella M.

doi:10.1007/978-3-030-98305-5_18

Cited by 3 publications

(5 citation statements)

References 16 publications

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“…Even so, the number of works considering content in other languages is increasing. The Portuguese language is widely spoken in the world, with over 230 million native speakers, 1 and NLP methods have been used for several applications using Portuguese-language content, including regional reading preferences discovery [Silva et al 2021a], detection of loanwords [Muhongo et al 2022], and genre classification [Scofield et al 2022].…”

Section: Related Workmentioning

confidence: 99%

Analyzing Character Networks in Portuguese-language Literary Works

Silva¹,

Oliveira²,

Moro³

2023

Anais Do XII Brazilian Workshop on Social Network Analysis and Mining (BraSNAM 2023)

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Literary works are complex narratives with multifaceted character relationships. Studying these relationships can reveal important insights into the story’s structure and each character’s contribution to the plot development. This research investigates character networks in Portuguese-language literature using two main analytical approaches: structural network analysis and character importance metrics. Our analyses emphasize the significance of character networks in understanding the narrative structure of literary works and reveal the intricate interplay between characters in Portuguese-language literature. These findings deepen our comprehension of literary works’ fundamental structure and the characters’ pivotal role in shaping the story.

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Section: Related Workmentioning

confidence: 99%

Analyzing Character Networks in Portuguese-language Literary Works

Silva¹,

Oliveira²,

Moro³

2023

Anais Do XII Brazilian Workshop on Social Network Analysis and Mining (BraSNAM 2023)

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“…This work presents the initial part of our research. We develop further studies using the dataset and methodology presented here, such as book genre classification with online reviews [10].…”

Section: Contributionsmentioning

confidence: 99%

“…[10] ClarisseScofield et al, 2022. Book Genre Classification Based on Reviews of Portuguese-Language Literature.…”

mentioning

confidence: 99%

What Makes a Book Successful? A Study on Portuguese-language Literature

Scofield¹,

Silva²,

Moro³

2022

Anais Estendidos Do XXVIII Simpósio Brasileiro De Sistemas Multimídia E Web (WebMedia 2022)

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Analyzing the success of books is a matter of interest among publishers, professional book reviewers, expert writers, and even curious readers. Such a task has many influencing factors concerning the intrinsic content and quality of the book (e.g., interest, novelty, writing style, and engaging plot) and others regarding external factors such as social context, author relationships, and luck for publication. Faced with so many variables, recognizing a successful literary work is a challenging endeavor even for specialists in the publishing market. Our objective is: to explore a dataset of books in the Portuguese language created to obtain more knowledge about the different variables of success in the literary context; to understand and evaluate the metrics collected that indicate new perceptions about books using graphical views.

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“…The insights that such reviews provide into readers' opinions are commonly exploited by publishers and authors for understanding the preferences of their readers (Aerts et al ., 2017; Dimitrov et al ., 2015; Maity et al ., 2019; Thelwall, 2019; Wang et al ., 2019). Among these studies, we notice that still little is known about the diverse communication strategies adopted by readers to share their reading experiences with others in terms of stylistic variations between reviews written across different platforms or referring to books belonging to different genres (Hajibayova, 2019; Rebora et al ., 2021; Scofield et al ., 2022), especially when it comes to book reviews written in Italian. However, the analysis of stylistic variations of reviewers' writing style can contribute useful perspectives to information behaviour research, especially in the context of DSR practices.…”

Section: Introductionmentioning

confidence: 99%

“…Less attention has been paid to exploiting user-generated reviews written by readers. To the best of our knowledge, the main exception is Saraswat (2022), which used Amazon book reviews for genre classification using recurrent neural networks, and the study conducted by Scofield et al . (2022), which relied on multiple machine learning algorithms to categorize 24 fiction genres starting from a collection of 325 Portuguese book reviews posted on Goodreads.…”

Section: Introductionmentioning

confidence: 99%

Tell me how you write and I'll tell you what you read: a study on the writing style of book reviews

Alzetta,

Dell'Orletta,

Miaschi

et al. 2023

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PurposeThe authors’ goal is to investigate variations in the writing style of book reviews published on different social reading platforms and referring to books of different genres, which enables acquiring insights into communication strategies adopted by readers to share their reading experiences.Design/methodology/approachThe authors propose a corpus-based study focused on the analysis of A Good Review, a novel corpus of online book reviews written in Italian, posted on Amazon and Goodreads, and covering six literary fiction genres. The authors rely on stylometric analysis to explore the linguistic properties and lexicon of reviews and the authors conducted automatic classification experiments using multiple approaches and feature configurations to predict either the review's platform or the literary genre.FindingsThe analysis of user-generated reviews demonstrates that language is a quite variable dimension across reading platforms, but not as much across book genres. The classification experiments revealed that features modelling the syntactic structure of the sentence are reliable proxies for discerning Amazon and Goodreads reviews, whereas lexical information showed a higher predictive role for automatically discriminating the genre.Originality/valueThe high availability of cultural products makes information services necessary to help users navigate these resources and acquire information from unstructured data. This study contributes to a better understanding of the linguistic characteristics of user-generated book reviews, which can support the development of linguistically-informed recommendation services. Additionally, the authors release a novel corpus of online book reviews meant to support the reproducibility and advancements of the research.

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Book Genre Classification Based on Reviews of Portuguese-Language Literature

Cited by 3 publications

References 16 publications

Analyzing Character Networks in Portuguese-language Literary Works

Analyzing Character Networks in Portuguese-language Literary Works

What Makes a Book Successful? A Study on Portuguese-language Literature

Tell me how you write and I'll tell you what you read: a study on the writing style of book reviews

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