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- W2897963877 abstract "This chapter presents the application of latent semantic analysis (LSA) in Python as a complement to Chap. 6, which covers semantic space modeling and LSA. In this chapter, we will present how to implement text analysis with LSA through annotated code in Python. In this example, we will run LSA over a dataset that includes 401 instances of both online and offline review sources from the Areias do Seixo Eco-Resort (Data available at https://archive.ics.uci.edu/ml/datasets/Eco-hotel)." @default.
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- W2897963877 date "2018-10-20" @default.
- W2897963877 modified "2023-09-27" @default.
- W2897963877 title "Latent Semantic Analysis (LSA) in Python" @default.
- W2897963877 doi "https://doi.org/10.1007/978-3-319-95663-3_14" @default.
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