NAME

WebService::GoogleHack::Rate - This module implements a simple relatedness measure and semantic orientation related type functions.

SYNOPSIS

    use WebService::GoogleHack::Rate;

    #GIVE PATH TO INPUT FILE HERE

    my $INPUTFILE="";

    #GIVE PATH TO TRACE FILE HERE

    my $TRACEFILE="";

    #create an object of type Rate

    my $rate = WebService::GoogleHack::Rate->new(); 

    $results=$rate->measureSemanticRelatedness("dog", "cat");

    #The PMI measure is stored in the variable $results, and it can also 
    #be accessed as $rate->{'PMI'};

    $results=$rate->predictSemanticOrientation($INPUTFILE, "excellent", "bad",$TRACEFILE);

    #The resutls can be accessed through 
    print $results->{'prediction'}."\n"; 
    $results->{'PMI Measure'}."\n"; 
    $rate->{'prediction'} &."\n"; 
    $rate->{'PMI Measure'}."\n"; 

DESCRIPTION

WebService::GoogleHack::Rate - This package uses Google to do some basic natural language processing. For example, given two words, say "knife" and "cut", the module has the ability to retrieve a semantic relatedness measure, commonly known as the PMI (Pointwise mututal information) measure. The larger the measure the more related the words are. The package can also predict the semantic orientation of a given paragraph of english text. A positive measure means that the paragraph has a positive meaning, and negative measure means the opposite.

PACKAGE METHODS

__PACKAGE__->new()

Purpose: This function creates an object of type Rate and returns a blessed reference.

__PACKAGE__->init(Params Given Below)

Purpose: This this function can used to inititalize the member variables.

Valid arguments are :

• key

  string. key to the google-api

• File_location

  string. This the wsdl file name

__PACKAGE__->measureSemanticRelatedness(searchString1,searchString2)

Purpose: this is function is used to measure the relatedness between two words.

Valid arguments are :

• searchString1

  string. The search string which can be a phrase or word

• searchString2

  string. The search string which can be a phrase or word

Returns: Returns the object containing the PMI measure.

__PACKAGE__->predictSemanticOrientation(review_file,positive_inference,negative_inference,trace_file)

Purpose: this function tries to predict the semantic orientation of a paragraph of text.

Valid arguments are :

• review_file

  string. The location of the review file

• positive_inference.

  string. Positive inference such as excellent

• negative_inference.

  string. Negative inference such a poor

• trace_file.

  string. The location of the trace file. If a file_name is given, the results are stored in this file

Returns : the PMI measure and the prediction which is 0 or 1.

AUTHOR

Pratheepan Raveendranathan, <rave0029@d.umn.edu>

Ted Pedersen, <tpederse@d.umn.edu>

BUGS

SEE ALSO

WebService::GoogleHack home page

Pratheepan Raveendranathan

Ted Pedersen

Google-Hack Maling List <google-hack-users@lists.sourceforge.net>

COPYRIGHT AND LICENSE

Copyright (c) 2003 by Pratheepan Raveendranathan, 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.