📄 wv.c
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/* Word vectors. *//* Copyright (C) 1997, 1998, 1999 Andrew McCallum Written by: Andrew Kachites McCallum <mccallum@cs.cmu.edu> This file is part of the Bag-Of-Words Library, `libbow'. This library is free software; you can redistribute it and/or modify it under the terms of the GNU Library General Public License as published by the Free Software Foundation, version 2. This library 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 Library General Public License for more details. You should have received a copy of the GNU Library General Public License along with this library; if not, write to the Free Software Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111, USA */#include <bow/libbow.h>#include <stdlib.h> /* for qsort() */static intcompare_ints (const void *int1, const void *int2){ return *(int*)int1 - *(int*)int2;}/* Create and return a new "word vector" with uninitialized contents. */bow_wv *bow_wv_new (int capacity){ bow_wv *ret; ret = bow_malloc (sizeof (bow_wv) + sizeof (bow_we) * capacity); ret->num_entries = capacity; ret->normalizer = 1; return ret;}/* Allocate a return a copy of WV */bow_wv *bow_wv_copy (bow_wv *wv){ bow_wv *ret; int wvi; ret = bow_wv_new (wv->num_entries); for (wvi = 0; wvi < wv->num_entries; wvi++) ret->entry[wvi] = wv->entry[wvi]; return ret;}/* Create and return a new "word vector" from a document buffer LEX. */bow_wv *bow_wv_new_from_lex (bow_lex *lex){ int i, j; char word[BOW_MAX_WORD_LENGTH]; /* buffer for reading and stemming words */ int wi; /* a word index */ int *wi_array; /* all words in document, including repeats */ int wi_array_length = 0; int wi_array_size = 1024; int num_unique_wi; /* the number of different words in document */ int prev_wi; /* used when counting number of diff words */ bow_wv *wv; /* the word vector this function will return */ wi_array = bow_malloc (wi_array_size * sizeof (int)); /* Read words from the file, stem them, get their word index, and append each of them to `wi_array'. */ while (bow_default_lexer->get_word (bow_default_lexer, lex, word, BOW_MAX_WORD_LENGTH)) { wi = bow_word2int_add_occurrence (word); if (wi < 0) continue; if (wi_array_length == wi_array_size-1) { /* wi_array needs to grow in order to hold more word indices. */ wi_array_size *= 2; wi_array = bow_realloc (wi_array, wi_array_size * sizeof (int)); } wi_array[wi_array_length++] = wi; } /* If we didn't get any words from the file, return NULL. */ if (wi_array_length == 0) { bow_free (wi_array); return NULL; } /* Sort the array of word indices. */ qsort (wi_array, wi_array_length, sizeof (int), compare_ints); /* Find out how many of them are unique, (i.e. determine the correct value for NUM_UNIQUE_WI) so that we know how much space to allocate for the wv->entries. */ for (num_unique_wi = 0, prev_wi = -1, i = 0; i < wi_array_length; i++) { if (wi_array[i] != prev_wi) { num_unique_wi++; prev_wi = wi_array[i]; } } /* Allocate memory for the word vector we're creating. */ wv = bow_malloc (sizeof (bow_wv) + sizeof (bow_we) * num_unique_wi); /* Fill in the word vector entries from WI_ARRAY. */ wv->num_entries = num_unique_wi; for (i = 0, j = -1, prev_wi = -1; i < wi_array_length; i++) { if (wi_array[i] != prev_wi) { j++; wv->entry[j].wi = wi_array[i]; prev_wi = wi_array[i]; wv->entry[j].count = 1; } else { (wv->entry[j].count)++; } } assert (j+1 == num_unique_wi); bow_free (wi_array); /* Initialize to a standard value. */ wv->normalizer = 1; return wv;}bow_wv *bow_wv_new_from_text_fp (FILE *fp, const char *filename){ bow_wv *ret; /* the word vector this function will return */ bow_lex *lex; /* NOTE: This will read just the first document from the file. */ lex = bow_default_lexer->open_text_fp (bow_default_lexer, fp, filename); if (lex == NULL) return NULL; ret = bow_wv_new_from_lex (lex); bow_default_lexer->close (bow_default_lexer, lex); return ret;}bow_wv *bow_wv_new_from_text_string (char *the_string){ bow_wv *ret; /* the word vector this function will return */ bow_lex *lex; if(!the_string || !*the_string) return NULL; lex = (bow_lex *) bow_malloc (sizeof (bow_lex)); if (lex == NULL) return NULL; lex->document = strdup (the_string); assert (lex->document); lex->document_length = strlen (the_string); lex->document_position = 0; ret = bow_wv_new_from_lex (lex); free (lex->document); free (lex); return ret;}/* Remove words that don't occur in WI2DVF */voidbow_wv_prune_words_not_in_wi2dvf (bow_wv *wv, bow_wi2dvf *wi2dvf){ int wvi; for (wvi = 0; wvi < wv->num_entries; wvi++) { /* If the word isn't in WI2DVF remove this entry from WV. */ if (bow_wi2dvf_dv (wi2dvf, wv->entry[wvi].wi) == NULL) { int wvi2; for (wvi2 = wvi; wvi2 < wv->num_entries-1; wvi2++) wv->entry[wvi2] = wv->entry[wvi2+1]; wv->num_entries--; wvi--; } }}/* Return the number of word occurrences in the WV */intbow_wv_word_count (bow_wv *wv){ int i, c = 0; for (i = 0; i < wv->num_entries; i++) c += wv->entry[i].count; return c;}/* Return a pointer to the "word entry" with index WI in "word vector WV */bow_we *bow_wv_entry_for_wi (bow_wv *wv, int wi){ int i; if (!wv) return NULL; for (i = 0; i < wv->num_entries; i++) { if (wv->entry[i].wi == wi) return &(wv->entry[i]); else if (wv->entry[i].wi > wi) return NULL; } return NULL;}/* Return the count of word WI in vector WV; find it using binary search. */intbow_wv_broken_count_for_wi (bow_wv *wv, int wi){ int left_wvi = 0; int right_wvi = wv->num_entries-1; int mid_wvi; /* Perform binary search to find the WV entry for WI */ while (left_wvi < right_wvi) { mid_wvi = (left_wvi + right_wvi) / 2; if (mid_wvi == left_wvi) mid_wvi = right_wvi; if (wv->entry[mid_wvi].wi == wi) return wv->entry[mid_wvi].count; else if (wv->entry[mid_wvi].wi > wi) right_wvi = mid_wvi; else left_wvi = mid_wvi; } /* There was no entry for WI; the count is zero */ return 0;}/* Return the count entry of "word" with index WI in "word vector" WV */intbow_wv_count_for_wi (bow_wv *wv, int wi){ bow_we *we; we = bow_wv_entry_for_wi (wv, wi); if (we) return we->count; return 0;}/* Return the number of bytes required for writing the "word vector" WV. */intbow_wv_write_size (bow_wv *wv){ if (wv == NULL) return sizeof (int); return (sizeof (int) /* for NUM_ENTRIES */ + sizeof (float) /* for NORM */ + (wv->num_entries /* for the entries */ * (sizeof (int) /* for WI */ + sizeof (int) /* for COUNT */ + sizeof (float)))); /* for WEIGHT */}/* Write "word vector" DV to the stream FP. */voidbow_wv_write (bow_wv *wv, FILE *fp){ int i; if (wv == NULL) { bow_fwrite_int (0, fp); return; } bow_fwrite_int (wv->num_entries, fp); bow_fwrite_float (wv->normalizer, fp); for (i = 0; i < wv->num_entries; i++) { bow_fwrite_int (wv->entry[i].wi, fp); bow_fwrite_int (wv->entry[i].count, fp); bow_fwrite_float (wv->entry[i].weight, fp); }}/* Return a new "word vector" read from a pointer into a data file, FP. */bow_wv *bow_wv_new_from_data_fp (FILE *fp){ int i; int len; bow_wv *ret; bow_fread_int (&len, fp); if (len == 0) return NULL; ret = bow_wv_new (len); bow_fread_float (&(ret->normalizer), fp); for (i = 0; i < len; i++) { bow_fread_int (&(ret->entry[i].wi), fp); bow_fread_int (&(ret->entry[i].count), fp); bow_fread_float (&(ret->entry[i].weight), fp); } return ret;}voidbow_wv_free (bow_wv *wv){ bow_free (wv);}/* Print "word vector" WV on stream FP in a human-readable format. */voidbow_wv_fprintf (FILE *fp, bow_wv *wv){ int i; for (i = 0; i < wv->num_entries; i++) fprintf (fp, "%s %d %d ", bow_int2word (wv->entry[i].wi), wv->entry[i].wi, wv->entry[i].count); fprintf (fp, "\n");}/* Print "word vector" WV on stream FP in a human-readable format. */voidbow_wv_printf (bow_wv *wv){ int i; for (i = 0; i < wv->num_entries; i++) fprintf (stdout, "%4d %30s %4d\n", wv->entry[i].wi, bow_int2word (wv->entry[i].wi), wv->entry[i].count);}/* Print "word vector" WV to a string in human readable format. Set max_size_for_string to 0 if you don't want to limit it.*/char *bow_wv_sprintf (bow_wv *wv, unsigned int max_size_for_string){ int i; int wami=0; char *ret_string = NULL, *tmp_string=NULL; unsigned int nentries=0; if(!wv) return NULL; assert((max_size_for_string >= 10) /* || (max_size_for_string == 0) */ ); nentries = wv->num_entries; ret_string = malloc(max_size_for_string+1); assert(ret_string); tmp_string = ret_string; for (i = 0; i < nentries; i++) { sprintf (tmp_string, "%d %d %n", wv->entry[i].wi, wv->entry[i].count, &wami); tmp_string += wami; /* Ensure we haven't stepped off the end of the output string. Allow for some slop at the end. */ if (tmp_string - ret_string > max_size_for_string - 20) break; } return ret_string;}/* Print "word vector" WV to a string in human readable format. Set max_size_for_string to 0 if you don't want to limit it.*/char *bow_wv_sprintf_words (bow_wv *wv, unsigned int max_size_for_string){ int i; int wami=0; char *ret_string = NULL, *tmp_string=NULL; unsigned int nentries=0; if(!wv) return NULL; assert((max_size_for_string >= 10) /* || (max_size_for_string == 0) */ ); nentries = wv->num_entries; ret_string = malloc(max_size_for_string+1); assert(ret_string); tmp_string = ret_string; for (i = 0; i < nentries; i++) { sprintf (tmp_string, "%s %d %n", bow_int2word(wv->entry[i].wi), wv->entry[i].count, &wami); tmp_string += wami; /* Ensure we haven't stepped off the end of the output string. Allow for some slop at the end. */ if (tmp_string - ret_string > max_size_for_string - 20) break; } return ret_string;}/* Assign the values of the "word vector entry's" WEIGHT field equal to the COUNT. */voidbow_wv_set_weights_to_count (bow_wv *wv, bow_barrel *barrel){ int wvi; /* null statement to avoid compilation warning */ /* I love this statement :-) (please don't change it!) - Jason */ /* Avoids compilation warnings and doesn't cause a segmentation * violation when BARREL == NULL */ if (barrel) barrel = barrel; for (wvi = 0; wvi < wv->num_entries; wvi++) wv->entry[wvi].weight = wv->entry[wvi].count;}/* Assign weight values appropriate for the different event models. For document, weights are 0/1. For word, weights are same as counts. For doc-then-word, weights are normalized counts. Note that in this case, some weights may be zero. Sets normalizer to be total number of words as appropriate for the event model. Barrel should be the class barrel, so we can avoid words that don't occur in the class barrel. */voidbow_wv_set_weights_by_event_model (bow_wv *wv, bow_barrel *barrel){ int wvi; bow_dv *dv; int total_words = 0; assert (barrel); if (bow_event_model == bow_event_document) { for (wvi = 0; wvi < wv->num_entries; wvi++) { dv = bow_wi2dvf_dv (barrel->wi2dvf, wv->entry[wvi].wi); if (dv) { total_words++; wv->entry[wvi].weight = 1.0; } else wv->entry[wvi].weight = 0.0; } wv->normalizer = wv->num_entries; } else if (bow_event_model == bow_event_word) { for (wvi = 0; wvi < wv->num_entries; wvi++) { dv = bow_wi2dvf_dv (barrel->wi2dvf, wv->entry[wvi].wi); if (dv) { wv->entry[wvi].weight = wv->entry[wvi].count; total_words += wv->entry[wvi].count; } else wv->entry[wvi].weight = 0.0; } wv->normalizer = total_words; } else if (bow_event_model == bow_event_document_then_word) { for (wvi = 0; wvi < wv->num_entries; wvi++) { /* For normalization, don't count words that don't appear in the class barrel */ dv = bow_wi2dvf_dv (barrel->wi2dvf, wv->entry[wvi].wi); if (dv) { total_words += wv->entry[wvi].count; wv->entry[wvi].weight = 1.0; } else wv->entry[wvi].weight = 0.0; } for (wvi = 0; wvi < wv->num_entries; wvi++) if (wv->entry[wvi].weight == 1.0) { wv->entry[wvi].weight = (float) wv->entry[wvi].count * (float) bow_event_document_then_word_document_length / (float) total_words; } wv->normalizer = bow_event_document_then_word_document_length; } else bow_error ("No implementation for this event model");}/* Assign the values of the "word vector entry's" WEIGHT field equal to the COUNT times the word's IDF, taken from the BARREL. */voidbow_wv_set_weights_to_count_times_idf (bow_wv *wv, bow_barrel *barrel){ int wvi; int wi; bow_dv *dv; assert (barrel); for (wvi = 0; wvi < wv->num_entries; wvi++) { wi = wv->entry[wvi].wi; dv = bow_wi2dvf_dv (barrel->wi2dvf, wi); if (dv) { wv->entry[wvi].weight = (wv->entry[wvi].count * dv->idf); } else { /* This word was not part of the model at all. */ wv->entry[wvi].weight = 0; } }}/* Assign the values of the "word vector entry's" WEIGHT field equal to the log(COUNT) times the word's IDF, taken from the BARREL. */voidbow_wv_set_weights_to_log_count_times_idf (bow_wv *wv, bow_barrel *barrel){ int wvi; int wi; bow_dv *dv; for (wvi = 0; wvi < wv->num_entries; wvi++) { wi = wv->entry[wvi].wi; dv = bow_wi2dvf_dv (barrel->wi2dvf, wi); if (dv) { wv->entry[wvi].weight = (log (wv->entry[wvi].count + 1) * dv->idf); } else { /* This word was not part of the model at all. */ wv->entry[wvi].weight = 0; } }}/* Return the sum of the weight entries. */floatbow_wv_weight_sum (bow_wv *wv){ int wvi; float sum = 0; for (wvi = 0; wvi < wv->num_entries; wvi++) sum += wv->entry[wvi].weight; return sum;}
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