Book genre and author’s gender recognition based on titles
-
Adam Pawłowski
Abstract
The subject of this chapter is the application of automatic taxonomy methods to the corpus of microtexts, consisting of book titles. We test two hypotheses. The first one claims that simply on the basis of a book title one can automatically recognize its genre (writing species). The second assumes the possibility of recognizing the author’s gender on the basis of the book’s title. FastText and word2vec methods were applied. The analyses give a positive (and rather astonishing) result: with properly chosen n-grams more than 70% of titles could be correctly assigned a writing species, while the accuracy of the gender recognition of the author was almost 80%. Both values significantly exceed the levels of random recognition. The research was conducted on the corpus of titles derived from the Polish national bibliography.
Abstract
The subject of this chapter is the application of automatic taxonomy methods to the corpus of microtexts, consisting of book titles. We test two hypotheses. The first one claims that simply on the basis of a book title one can automatically recognize its genre (writing species). The second assumes the possibility of recognizing the author’s gender on the basis of the book’s title. FastText and word2vec methods were applied. The analyses give a positive (and rather astonishing) result: with properly chosen n-grams more than 70% of titles could be correctly assigned a writing species, while the accuracy of the gender recognition of the author was almost 80%. Both values significantly exceed the levels of random recognition. The research was conducted on the corpus of titles derived from the Polish national bibliography.
Chapters in this book
- Prelim pages i
- Table of contents v
- Introduction 1
- Part I. Theory and models 7
- On the impact of the initial phrase length on the position of enclitics in Old Czech 9
- Term distance, frequency and collocations 21
- A method for the comparison of general sequences via type-token ratio 37
- Quantitative analysis of syllable properties in Croatian, Serbian, Russian, and Ukrainian 55
- N -grams of grammatical functions and their significant order in the Japanese clause 69
- Linking the dependents 93
- Grammar efficiency and the One-Meaning–One-Form Principle 109
- Distribution and characteristics of commonly used words across different texts in Japanese 121
- Part II. Empirical studies 135
- The perils of big data 137
- From distinguishability to informativity 145
- A Modern Greek readability tool 163
- Phonological properties as predictors of text success 177
- Calculating the victory chances 195
- Topological mapping for visualisation of high-dimensional historical linguistic data 209
- Book genre and author’s gender recognition based on titles 225
- Quantitative analysis of bibliographic corpora 239
- Analysis of English text genre classification based on dependency types 257
- In memory of Gabriel Altmann 271
- Index 277
Chapters in this book
- Prelim pages i
- Table of contents v
- Introduction 1
- Part I. Theory and models 7
- On the impact of the initial phrase length on the position of enclitics in Old Czech 9
- Term distance, frequency and collocations 21
- A method for the comparison of general sequences via type-token ratio 37
- Quantitative analysis of syllable properties in Croatian, Serbian, Russian, and Ukrainian 55
- N -grams of grammatical functions and their significant order in the Japanese clause 69
- Linking the dependents 93
- Grammar efficiency and the One-Meaning–One-Form Principle 109
- Distribution and characteristics of commonly used words across different texts in Japanese 121
- Part II. Empirical studies 135
- The perils of big data 137
- From distinguishability to informativity 145
- A Modern Greek readability tool 163
- Phonological properties as predictors of text success 177
- Calculating the victory chances 195
- Topological mapping for visualisation of high-dimensional historical linguistic data 209
- Book genre and author’s gender recognition based on titles 225
- Quantitative analysis of bibliographic corpora 239
- Analysis of English text genre classification based on dependency types 257
- In memory of Gabriel Altmann 271
- Index 277
