This
is the homepage of HAMLET
II - computer assisted text analysis
"Words, words, words." Hamlet (II,ii,194)
The main idea of HAMLET II© is to search
text files
for words or categories in a given vocabulary list, and to count their
joint
frequencies
within any specified context unit, within sentences, or as collocations
within a given span of words. The benefit of measuring
empirical properties of
texts is nicely combined with HAMLET's features of graphical
visualisation.
Qualitative and quantitative analysis are integral parts
of HAMLET's design.
Individual word frequencies
, joint frequencies
for pairs of words ,
both expressed in terms of the chosen unit of context, and the
corresponding standardised joint frequencies are organised in
a similarities matrix,
which can be submitted to 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.) Word co-occurrences within specified
context units can also be submitted to corrrespondence
analysis, providing further information about usage within a
text.
It then becomes possible to compare the results of
applying
multi-dimensional scaling to matrices of joint frequencies of
equivalent vocabulary lists derived from a number of texts, using Procrustean Individual Differences Scaling
(PINDIS), or to apply Individual
Differences Scaling (INDSCAL) to the matrices themselves.
Further procedures help to determine the broad
characteristics of word usage in a text:
WORDLIST generates lists of words and
frequencies.
KWIC offers Key-Word-In-Context listings for any
given
word-string.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
HAMLET
II© offers a unique Vocabulary
Editor to speed up the development
of vocabulary lists for use in researching
co-occurrences and a new Fast
Track Procedure to apply them efficiently in
comparing large numbers of texts in one operation.
Numerical
results can be saved, if necessary, in csv format
for export via Microsoft Excel or direct import into R.
You
can also run HAMLET on
Linux using WINE.
Full documentation is available for HAMLET II "new
generation" in the download section.
For running HAMLET II for Microsoft
Windows using WINE
on free Debian GNU/Linux
consult our recent documentation
Hamlet II on Debian GNU/LINUX!
