Create README.md

Added description of the two document similarity scripts.
Changes to docsimilarity.py and corpus

1. Added support for TFIDF, LSI and LDA in docsimilarity.py
2. Computing cluster sum score for parallel sessions.
3. Manual handling of stop words and words with frequency of 1.
Added Results

Top 2 words from each topic for LSI and LDA models.
Deleted extra files.
Inter and Intra session calculations added.
Delete OLD-docsimilarity.py
Added stemming as a pre-processing step

All words in the documents are now stemmed before building the
dictionary. This is a pre-processing step in addition to removing stop
words and words that occur only once throughout the corpus.
Adding stemming to preprocessing step for dictionary
Added script to output pairwise similarity matrix

Uses the LSI model. Inputs are a corpus (one document/talk per line) and the number of topics
Added ESA Corpus with Titles and Abstracts

Minor change to docsimilarity.py. Removed a print statement
Removed a print statement
Deleted files
Deleted files
Fixed the number of timeslots for ESA 2013
Similarity scores are added to a 2D array for easy access
Pairwise similarity scores for all talk-talk pairs added
Deleted Scores file
Added similarity scores for talk-talk pairs in .tsv format
Added shell script that produces the PairwiseSimilarity.tsv
Randomized swapping algorithm

This algorithm will conduct 5000 iterations/swaps on an initial schedule and will document the DR at each swap. If a swap results in a DR improvement, the changed schedule is kept and subsequent swaps are based on the changed schedule. If a swap does not improve the DR, the schedule is not changed