Abstract
This chapter details the process of converting documents into an analysis-ready term-document representation. Preprocessed text documents are first transformed into an inverted index for demonstrative purposes. Then, the inverted index is manipulated into a term-document or document-term matrix. The chapter concludes with descriptions of different weighting schemas for analysis-ready term-document representation.
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References
Berry, M. W., Drmac, Z., & Jessup, E. R. (1999). Matrices, vector spaces, and information retrieval. SIAM Review, 41(2), 335–362.
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Jessup, E. R., & Martin, J. H. (2001). Taking a new look at the latent semantic analysis approach to information retrieval. Computational Information Retrieval, 2001, 121–144.
Manning, C., Raghavan, P., & Schütze, H. (2008). Introduction to information retrieval. Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9780511809071.
Further Reading
For more about the term-document representation of text data, see Berry et al. (1999) and Manning et al. (2008).
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Anandarajan, M., Hill, C., Nolan, T. (2019). Term-Document Representation. In: Practical Text Analytics. Advances in Analytics and Data Science, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-319-95663-3_5
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DOI: https://doi.org/10.1007/978-3-319-95663-3_5
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