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Project Description 3 Latent Semantic Index

Project Description 3 Latent Semantic Index. Compute TFIDF(token_i, document_j) = tf( ti ; dj) log | Tr|/|Tr(ti) The token in each file is sorted and attached the TFIDF value. 1. Tr ( ti )= the # of documents in Tr in which ti occurs at least once,

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Project Description 3 Latent Semantic Index

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  1. Project Description 3Latent Semantic Index

  2. Compute TFIDF(token_i, document_j) = tf(ti; dj)log |Tr|/|Tr(ti) The token in each file is sorted and attached the TFIDF value

  3. 1. Tr(ti)= the # of documents in Tr in which ti occurs at least once, =1 +log(N(ti; dj))if N(ti; dj)> 0 2. tf(ti; dj)  =0 otherwise 3. N(ti, dj) = the frequency of ti in dj.

  4. Project 1. Tr(ti)= the # of documents in Tr in which ti occurs at least once, =1 +log(N(ti; dj))if N(ti; dj)> 0 2. tf(ti; dj)  =0 otherwise 3. N(ti, dj) = the frequency(normalization) of ti in dj.

  5. Important point about Token • TFIDF(token_i, document_j) = tf(ti; dj)log |Tr|/|Tr(ti) Correction(only consider (threshold2??) >=Tr(ti) >= threshold1 Discuss come properties about this numerical values • Stemization( call system dictionary)

  6. Create a Token Database Organize all Inverted files of the following documents http: //kdd.ics.uci.edu/databases/20newsgroups/20newsgroups.html into a database

  7. LSI example

  8. High Dimension LSI example

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