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-0.2.126.linux-x86_64.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | d936ee5a9ed080ba4475fb5575b2580758f9c96de66a0bb4e597ed6bcb5a250a |
|
MD5 | 72d8ce234f46be0d00492ec432c3048b |
|
BLAKE2b-256 | 9afa8fd25f29f8b4f33bbdb9140ff5b639f4bd6b679d6e2fd73d9a6ed10243a0 |
Close
Hashes for argument_esa_model-0.2.126-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | ce28224c6e7c5dd9e219589dce8383499cbb9045fbf5fced4b26c52ea0266f3b |
|
MD5 | 7754c50d23bac17ea8d53979287b41f0 |
|
BLAKE2b-256 | 72c87dfb53944ac151cc3604708f68ce47f5c7547828e5446945fb61799b3d42 |