NETL-Automatic-Topic-Labelling-
NETL-Automatic-Topic-Labelling- copied to clipboard
sb1992
Generating labels for topics automatically using neural embeddings
I am Directly running the pre-trained system to get the labels using gensim 4.1.2 on windows machine. Also i downloaded doc2vec and word2vec models from the links given in description....
I am running the pre-trained system to get the labels on my computer and it is getting out of memory. It has 16GB of RAM, 4GB of them are already...
Again, just like our pal proposed in Windows version, go to that website download the implementations (not binaries) gunzip it.. For the GCC compiler, I use latest gcc-10 from homebrew...
Hi, I am trying to run the pre-trained system and get the labels but I got an error below: ``` >>> python get_labels.py -cg -us -s Extracting candidate labels /usr/local/lib/python3.6/site-packages/gensim/models/doc2vec.py:566:...
Executing Supervised Model page Rank models loaded Data Gathered for supervised model letter trigram feature All features generated sh: support_files/svm_rank_classify: Permission denied Traceback (most recent call last): File "supervised_labels.py", line...
Hi all. I have called get_labels in my code, and i have received this error: **``` in get_labels(topic_num) 53 print(temp) 54 print(type(avgdoc2vec)) ---> 55 **resultdoc2vec.append((temp,float(avgdoc2vec[elem])))** 56 57 # This modifies...
You should use Support Vector Machine for Ranking for windows, you can download it from https://www.cs.cornell.edu/people/tj/svm_light/svm_rank.html Also, you need some changes in the code, so it can find the supported...
Since it raised exceptions and exited when topic terms where not present in the models, I tried skipping them, and after these changes it completed (as far as i can...
