clusterlabeling.pl - Label discovered clusters based on their content
clusterlabeling.pl [OPTIONS] INPUTFILE
Assigns labels to each cluster with the significant word pairs found in the cluster contexts. Also separates the clusters in different files. This is particularly useful for the web-interface.
Two types of labels are assigned to each cluster : Descriptive and Discriminating. Descriptive labels are the top n significant word pairs. Discriminating labels are the word-pairs unique to the cluster out of the top n significant word-pairs for the cluster.
File created by Toolkit/evaluate/format_clusters.pl with --context option.
A file containing Perl regex/s that define the tokenization scheme in INPUTFILE file.
If --token is not specified, default token regex file token.regex is searched in the current directory.
Specify a prefix to be used for the file names of the cluster files. e.g. If the PRE is the prefix specified then cluster with id=0 will have file name: PRE.cluster.0
If prefix is not specified then prefix is created by concatenating time stamp to the string "expr".
A file of Perl regexes that define the stop list of words to be excluded from the features.
STOPFILE could be specified with two modes :
AND mode - declared by including '@stop.mode=AND' on the first line of the STOPFILE
OR mode - declared by including '@stop.mode=OR' on the first line of the STOPFILE [Default]
AND mode ignores word pairs in which both words are stop words.
OR mode ignores word pairs in which either word is a stop word.
Allows user to set the size of the ngrams that will be used for the labels. Valid values are 2, 3, and 4.
Default value for this option is 2 (i.e. default feature selection)
Removes bigrams that occur less than N times.
Default value for this option is 5
Specifies the window size for bigrams. Pairs of words that co-occur within the specified window from each other (window W allows at most W-2 intervening words) will form the bigram features.
Default window size is 2 which allows only consecutive word pairs.
Specifies the statistical scores of association. The following are available:
ll - Log Likelihood Ratio [default] pmi - Point-Wise Mutual Information tmi - True Mutual Information x2 - Chi-Squared Test phi - Phi Coefficient tscore - T-Score dice - Dice Coefficient odds - Odds Ratio leftFisher - Left Fisher's Test rightFisher - Right Fisher's Test
Word pairs ranking below R when arranged in descending order of their test scores are ignored.
Default value for this option is 10
If turned on, word pair selection process will not span across newlines.
By default this option is turned off, that is, word pair selection spans across lines.
Displays the quick summary of program options.
Displays the version information.
Displays to STDERR the current program status.
Cluster 0 (Descriptive): Bill Clinton, Mariana Islands, Northern Mariana, Pacific island, World Cup, per hour Cluster 0 (Discriminating): Mariana Islands, Northern Mariana, Pacific island, World Cup, per hour Cluster 2 (Descriptive): Bill Clinton, Erik wrote, Inc Within, Jersey And, Lyle Menendez Cluster 2 (Discriminating): Erik wrote, Inc Within, Jersey And, Lyle Menendez Cluster 1: Cluster 3: Cluster -1 (Descriptive): York Times, Undated _ Cluster -1 (Discriminating): York Times, Undated _
Input to this program should be created by format_clusters.pl
Anagha Kulkarni, Carnegie-Mellon University Ted Pedersen, University of Minnesota, Duluth tpederse at d.umn.edu
Copyright (c) 2004-2008,2013 Anagha Kulkarni and Ted Pedersen
This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program; if not, write to
The Free Software Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
To install Text::SenseClusters, copy and paste the appropriate command in to your terminal.
cpanm
cpanm Text::SenseClusters
CPAN shell
perl -MCPAN -e shell install Text::SenseClusters
For more information on module installation, please visit the detailed CPAN module installation guide.