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 Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
Close
Hashes for argument_esa_model-3.11.85-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | eb2241a3a09727b6adc4142abda51961f6d0939d0a7234f2bb1700cf242eaf7d |
|
MD5 | 21965bae997361fe871f29a312331d98 |
|
BLAKE2b-256 | e14d803235f4120a6640a89ce47bc30a222e8a0fa5ce488db6bc4abdcbd31f75 |