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-0.2.101.linux-x86_64.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4b22922f6bc44cec51c364371e8d27e8772e45fcc42cfc96a8b8ed887316da26 |
|
MD5 | 3d4eeecde8a5f13a13843e202f4ad8d3 |
|
BLAKE2b-256 | 5d1b88a50f84c92aff047188f092ef9f8382050b1639c49eb660a8f3a30f3cb5 |
Close
Hashes for argument_esa_model-0.2.101-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2cd457735707b30565dd9152319c18cc339c2c23a483d7c88e0cc3fe42d8b68b |
|
MD5 | 1378a07bb751f78a7321cb75443798d9 |
|
BLAKE2b-256 | 374196102b01cf71866c1039d6157ab9fd17b51a838ec8926269cd974e66552d |