HTRC ACS Project

This repository contains code for the 2015 HathiTrust Reseach Center (HTRC) Advanced Collaborative Support (ACS) grant progam.

Contents

query.py contains the code to download all columns in an LoC area and train spanning models. acsexp.py contains the code to train sample models and compare them to the spanning models.

Data Generated

• Corpus details:
  • k -- number of topics
  • N -- number of volumes in sample corpus
  • sample_seed -- seed for sample model
  • spanning_seed -- seed for spanning model
  • LL -- log likelihood of sample model
  • num_tokens -- number of tokens in sample corpus
• Topic-word matrix comparisons
  • fitness -- average distance between each topic pair to the closest topic, allowing duplicate assignments so not all topics are guaranteed a match.
  • naive_fitness -- average distance between each topic pair, without replacement, giving a 1-to-1 alignment.
  • overlap -- percent of topics captured by basic alignment
• Topic-document matrix comparisons
  • fitness -- average distance between each topic pair to the closest topic, allowing duplicate assignments so not all topics are guaranteed a match.
  • naive_fitness -- average distance between each topic pair, without replacement, giving a 1-to-1 alignment.
  • overlap -- percent of topics captured by basic alignment
• Overall similarity comparisons (Information retrieval)
  • spearman -- Spearman Rank Correlation of document similarity
  • pearson -- Pearson Correlation of document similarity
  • recall -- Percentage overlap (should always be 1.0)
  • top10recall -- Percentage overlap of similar docs in top 10 percent

Datasets

htrc-loc-graph/marcrecs.py http://www.loc.gov/cds/products/product.php?productID=5 lccn-oclc-lcco-alignment.tsv htrc-loc-graph/htrc.py https://www.hathitrust.org/hathifiles htid-htrecord-oclc-lccn-alignment.tsv htrc-loc-graphlcco_titles.py data/lcco.rdf lcco_titles.tsv htrc-acs/import.sql lccn-oclc-lcco-alignment.tsv;htid-htrecord-oclc-lccn-alignment.tsv alignment.sqlite htrc-acs/align.py

Runtime

topicexplorer init $AREA --htrc --name "$(grep lcco_titles.py $AREA | awk '{print $1}')" topicexplorer prep $AREA topicexplorer train $AREA -k 20 40 60 80 --iter 500 -p 24

htrc-acs/acsexp.py config_path -k $0 --samples 100 --iter 200