"Words, words, words." Hamlet (II,ii,194)

 The main idea of HAMLET  is to search a text file for words
 in a given vocabulary list, and to count joint frequencies within 
 any specified context unit, within sentences, or as collocations 
 within a given span of words.

 Individual word frequencies (fi) , joint frequencies (fij)

 for pairs of words (i,j), both expressed in terms of the chosen unit 
 of context, and the corresponding standardised joint frequencies

   sij = (fij) / (fi + fj  - fij)

 are displayed in a similarities matrix, which can be submitted to 
 a simple cluster analysis and multi-dimensional scaling. (Instead 
 of the above (Jaccard) coefficient, it is possible to apply Sokal's 
 'matching coefficient', which takes account also of joint 
 non-occurrences.)


 A further option allows comparison of the results of applying multi-
 dimensional scaling to matrices of joint frequencies derived from a 
 number of texts, using Procrustean Individual Differences Scaling
 (PINDIS).

Further procedures are included to help to determine the broad characteristics of word usage in a text:
KWIC offers Key-Word-In-Context listings for any given word-string.
WORDLIST generates lists of words and frequencies.
COMPARE lists words common to pairs of texts, and is useful in generating vocabulary lists, including synonyms, for use in comparing a number of texts.
PROFILE displays the distributions of word and sentence lengths in a text, and may be useful for stylistic analysis.

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Please report any problems and address all enquiries to Alan Brier