An ESA implementation in python.
Project description
Get the required resources
scp -r webis@webislab40.medien.uni-weimar.de:/home/weci2587/projects/args-topic-modeling/resources .
To run the ESA-script with all terms run:
For normal ESA:
./esa-all-terms.py --similarity cos
--matrix-path <path_to_resources>/resources/esa-plain/<debatepedia|strategic-intelligence|wikipedia>.mat
--model-path <path_to_resources>/resources/esa-w2v/GoogleNews-vectors-negative300.bin
--model-vocab <path_to_resources>/resources/esa-w2v/w2v-vocab.p
--input-path <path_to_input_file>
--output-path <path_to_output_file>
For word2vec-ESA:
./esa-all-terms.py --similarity max
--matrix-path <path_to_resources>/resources/esa-w2v/<debatepedia|strategic-intelligence|wikipedia>.mat
--model-path <path_to_resources>/resources/esa-w2v/GoogleNews-vectors-negative300.bin
--model-vocab <path_to_resources>/resources/esa-w2v/w2v-vocab.p
--input-path <path_to_input_file>
--output-path <path_to_output_file>
To run the word2vec-ESA with reduced terms run:
./esa-top-n-terms.py -n <number_of_terms>
--corpus-path <path_to_resources>/resources/corpora/<debatepedia|strategic-intelligence|wikipedia>.csv
--model-path <path_to_resources>/resources/esa-w2v/GoogleNews-vectors-negative300.bin
--model-vocab <path_to_resources>/resources/esa-w2v/w2v-vocab.p
--input-path <path_to_input_file>
--output-path <path_to_output_file>
The input document must be a csv file with "|" as the separator and must contain the column "document", which is used as the input text for the ESA.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for argument_esa_model-0.2.118.linux-x86_64.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | ee9881330d4e296fff4fca66b3c1bfa59c53b7bd46954a9145fd2b145bea80d5 |
|
MD5 | 75036476599d4f434db2f405e4358175 |
|
BLAKE2b-256 | 461b0dd90936daeec31207fdcb4b3bc31d37af532764a4a7c1ee96d6300a1994 |
Close
Hashes for argument_esa_model-0.2.118-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | dcdb433deddfdab6c01abbc49b731ae6bccef33dc9f56e810001d5ee8c43ddb1 |
|
MD5 | 15b714ca6a2b9d64fc8b5e3b9c4a7d46 |
|
BLAKE2b-256 | 8082b0c57aa892da1a72038f2bbc2f1181d9f5520b9f2f3e9314115f13f17956 |