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Stemming algorithm - PowerPoint PPT Presentation

CSE 535 Information Retrieval

CSE 535 Information Retrieval

CSE 535 Information Retrieval. Chapter 2: Text Operations. Logical View. 1. Description of content and semantics of document 2. Structure 3. Derivation of index terms: (a) removal of stopwords (b) stemming (c) identification of nouns. Assigned terms 1. Manual indexing

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625 views • 45 slides
CSE 535 Information Retrieval

CSE 535 Information Retrieval

CSE 535 Information Retrieval. Chapter 2: Text Operations. Logical View. 1. Description of content and semantics of document 2. Structure 3. Derivation of index terms: (a) removal of stopwords (b) stemming (c) identification of nouns. Assigned terms 1. Manual indexing

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466 views • 45 slides
Spam Detection Kingsley Okeke Nimrat Virk

Spam Detection Kingsley Okeke Nimrat Virk

Spam Detection Kingsley Okeke Nimrat Virk. Spam emails, also known as junk emails, are unwanted emails sent to numerous recipients by email. They impede our ability to recognise normal emails. They can also be a threat to computer security. Everyone hates spams!!.

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210 views • 15 slides
Information Retrieval Homework #1

Information Retrieval Homework #1

Information Retrieval Homework #1. Members: Wesley, Lbr, Shuang CSIE, NCU. Outline. Introduction Stemming Algorithm Suffix Tree Performance Conclusion. Stemming Algorithm (optional). Goal of stemming improve performance and require less resources by reducing the number of unique words

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285 views • 8 slides

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