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-0.1.4.linux-x86_64.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 010df01578bef76d44a388748a6a50f489d0b37163923dd1caf253ca5667fac6 |
|
MD5 | 10f69213c2da622fe4edb83ce37a471d |
|
BLAKE2b-256 | 91d2b095f5df67cf73947b24a4c80a92bb228ab7f2b2add175e77cf0b428ab5c |
Close
Hashes for argument_esa_model-0.1.4-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 765355ebeef7950e7124a83af5ea276dfb61366c6fc0980cc53c3b5001de2641 |
|
MD5 | ef81e51d211073c5bb3321de1a6d6c2f |
|
BLAKE2b-256 | 7efadf5e449e9d4b45a3f8fee84caba8574fadc7b9a186856d3a86b382a0b82e |