HOW TO RUN AND EXECUTE THE PYTHON PROJECT:

1. Install python 3.5
2. Install pycharm
3. Run the main.py file
4. The results will be stored in results directory according the file structure below

N.B : The imports used are src. to maintain the file structure

There are 3 modes in every model mode 0 : normal mode 1 : Stopping mode 2 : Stemming

HOW TO RUN LUCENE PROGRAM

1. Install Java 8
2. Install Eclipse IDE
3. Download Lucene 4.7.2 (the required jar files are inside Shyam_Padia_TuTh_HW4/lucene/jar_files)
4. Add the following as reference libraries for the project -lucene-­core-4.7.2.jar -lucene-queryparser-4.7.2.jar -lucene-analyzers-common-4.7.2.jar
5. Run the Lucene.java file and provide the required paths

File structure:

• corpus
  • cacm (the raw corpus that is given)
  • parsed (parsed documents)
  • stemmed (stemmed parsed documents)
• data (data that is given)
  • cacm.query.parsed.txt (queries after parsing)
  • cacm.query.txt
  • cacm.rel.txt
  • cacm_stem.query.txt
  • cacm_stem.txt
  • common_words
• index (index is stored in pickle format for better compression and extraction)
  • index.pickle
  • stem.index.pickle
• results
  • eval (contains evaluation for all models)
    • bm25
      • bm25_map_mrr (format: map mrr)
      • bm25_p_at_5 (format: query_id precision_at_5)
      • bm25_p_at_20 (format: query_id precision_at_20)
      • bm25_precision (format: query_id rank doc_id precision_so_far relevant/non-relevant)
      • bm25_recall (format: query_id rank doc_id recall_so_far relevant/non-relevant)
    • bm25_stop
    • lucene
    • sqlm (Smoothed query likelihood model)
    • sqlm_prf
    • sqlm_stop
    • tfidf
    • tfidf_stop
  • ranking (contains top 100 matches for all queries using all models in TREC format)
  • snippets (contains snippets generated for all queries and their top 100 matches)
    • qid
      • doc-id
• src
  • lucene
    • Lucene.java
  • config.ini (contains the configurations for the project which is used throughout the project)
  • main.py
  • helpers.py
  • data_parser.py
  • doc_parser.py
  • query_parser.py
  • evaluator.py
  • indexer.py
  • result_writer.py
  • prf.py
  • bm25.py
  • sqlm.py
  • tfidf.py
  • snippet_generator.py (results are stored in .html documents)
• .gitignore
• README.md

Created by Chetan, Shyam, Shaurya