Text Analytics for Corpus Linguistics and Digital Humanities
portes grátis
Text Analytics for Corpus Linguistics and Digital Humanities
Simple R Scripts and Tools
Schneider, Gerold
Bloomsbury Publishing PLC
05/2024
236
Dura
Inglês
9781350370821
15 a 20 dias
Descrição não disponível.
List of Figures
List of Tables
Acknowledgements
1. Introduction
2. Spikes of Frequencies and First Steps in UNIX
3. Frequency Lists and First Steps in R
4. Overuse and Keywords and Using R Libraries
5. Document Classification and Supervised ML in LightSide and R
6. Topic Modelling and Unsupervised ML with Mallet and R
7. Kernel Density Estimation for Conceptual Maps
8. Distributional Semantics
9. BERT Models
10. Conclusions
References
Index
List of Tables
Acknowledgements
1. Introduction
2. Spikes of Frequencies and First Steps in UNIX
3. Frequency Lists and First Steps in R
4. Overuse and Keywords and Using R Libraries
5. Document Classification and Supervised ML in LightSide and R
6. Topic Modelling and Unsupervised ML with Mallet and R
7. Kernel Density Estimation for Conceptual Maps
8. Distributional Semantics
9. BERT Models
10. Conclusions
References
Index
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Data; Corpora; Digital Projects; Computational Linguistics; Big tech; Language processing; topic modelling
List of Figures
List of Tables
Acknowledgements
1. Introduction
2. Spikes of Frequencies and First Steps in UNIX
3. Frequency Lists and First Steps in R
4. Overuse and Keywords and Using R Libraries
5. Document Classification and Supervised ML in LightSide and R
6. Topic Modelling and Unsupervised ML with Mallet and R
7. Kernel Density Estimation for Conceptual Maps
8. Distributional Semantics
9. BERT Models
10. Conclusions
References
Index
List of Tables
Acknowledgements
1. Introduction
2. Spikes of Frequencies and First Steps in UNIX
3. Frequency Lists and First Steps in R
4. Overuse and Keywords and Using R Libraries
5. Document Classification and Supervised ML in LightSide and R
6. Topic Modelling and Unsupervised ML with Mallet and R
7. Kernel Density Estimation for Conceptual Maps
8. Distributional Semantics
9. BERT Models
10. Conclusions
References
Index
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
