joknopp / text2ldac Goto Github PK
View Code? Open in Web Editor NEWpython command line tool that takes a directory containing .txt files as input and generates three output files that can be used by the ldac or hlda implementations by David Blei
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neopunisher assiaabada jlederluis darcher005 nshrk dimecon lorraine333 lamour1314 rianachen omarun esadr clairett nathanafacion naveenbandi bubblyjuly cgshuotext2ldac's Issues
Small problems about re-indexing word_index after remove stopword or infrequent words from word_id_dict
Nice code, only a small problem. After remove stopword or infrequent words from word_id_dict, the code didn't re-index the index for words so that the max index of the word matches/reflects the total number of unique words in word dict. I updated the following corresponding code in function:
generate_dat_lines_and_word_ids(fnames, config)
to fix the problem.
remove_word_min_index = len( word_id_dict ) # record the min index of the remove word in order to change the corresponding index for word in word_id_dict
for word in remove_list:
freq_dict.pop(word)
#if they are new also remove them from word_id_dict
if word in new_words:
word_index = word_id_dict[ word ]
if word_index < remove_word_min_index:
remove_word_min_index = word_index
word_id_dict.pop(word)
num_word_shifts = 0
for word in word_id_dict: # re-index the word_id for word_id pairs to guarantee that the max index of the word matches/reflects #words in word dict
cur_index = word_id_dict[word]
if cur_index > remove_word_min_index:
word_id_dict[word] = remove_word_min_index + num_word_shifts
num_word_shifts += 1
Hope this helpful for future users who use the software to generate a matrix of word frequencies in the ldac format for dtm (dynamic topic model) software from this Link:
http://www.jgoodwin.net/?p=1043
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