'... this book should becomne an essential reference for any researcher interested in the quantitative analysis of textual data. I know of no other book that covers the same range of topics with this amount of detail. ... researchers from any field who use quantitative techniques to process texts should find much here that will be of use.' Computational Linguistics, 25:1 (1999)

• 1 Textual Statistics: Scope and Applications.- 2 The Units of Textual Statistics.- 3 Correspondence Analysis of Lexical Tables.- 4 Cluster Analysis of Words and Texts.- 5 Visualization of Textual Data.- 6 Characteristic Textual Units, Modal Responses and Modal Texts.- 7 Longitudinal Partitions, Textual Time Series.- 8 Textual Discriminant Analysis.- Appendix 1: Singular value decomposition and correspondence analysis.- Appendix 2: Clustering techniques.- Appendix 3: More details about the nonparametric estimation model.- Appendix 4: Search for repeated segments in a corpus.- References.- Author Index.- Symbols.

'... this book should becomne an essential reference for any researcher interested in the quantitative analysis of textual data. I know of no other book that covers the same range of topics with this amount of detail. ... researchers from any field who use quantitative techniques to process texts should find much here that will be of use.' Computational Linguistics, 25:1 (1999)

• 1 Textual Statistics: Scope and Applications.- 2 The Units of Textual Statistics.- 3 Correspondence Analysis of Lexical Tables.- 4 Cluster Analysis of Words and Texts.- 5 Visualization of Textual Data.- 6 Characteristic Textual Units, Modal Responses and Modal Texts.- 7 Longitudinal Partitions, Textual Time Series.- 8 Textual Discriminant Analysis.- Appendix 1: Singular value decomposition and correspondence analysis.- Appendix 2: Clustering techniques.- Appendix 3: More details about the nonparametric estimation model.- Appendix 4: Search for repeated segments in a corpus.- References.- Author Index.- Symbols.

'... this book should becomne an essential reference for any researcher interested in the quantitative analysis of textual data. I know of no other book that covers the same range of topics with this amount of detail. ... researchers from any field who use quantitative techniques to process texts should find much here that will be of use.' Computational Linguistics, 25:1 (1999)

• 1 Textual Statistics: Scope and Applications.- 2 The Units of Textual Statistics.- 3 Correspondence Analysis of Lexical Tables.- 4 Cluster Analysis of Words and Texts.- 5 Visualization of Textual Data.- 6 Characteristic Textual Units, Modal Responses and Modal Texts.- 7 Longitudinal Partitions, Textual Time Series.- 8 Textual Discriminant Analysis.- Appendix 1: Singular value decomposition and correspondence analysis.- Appendix 2: Clustering techniques.- Appendix 3: More details about the nonparametric estimation model.- Appendix 4: Search for repeated segments in a corpus.- References.- Author Index.- Symbols.