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 sklearn_esa-0.0.5.linux-x86_64.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 841b5992c213dc991880ca017d8df0759c374474546946c5a27f6d7641afb80a |
|
MD5 | 3ade8e6bf8575a9ee84624bab021ab32 |
|
BLAKE2b-256 | 28e0a85d51241c7e969943e849810d92e8044a05e7e3b4927302920ce992a769 |
Close
Hashes for sklearn_esa-0.0.5-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | c889f9e7c0c3fd032f5f0bb99accaf41158d1cd0ca62ae65f44b54645863e9ae |
|
MD5 | 32eedf26754ef150257ed2ba19be930d |
|
BLAKE2b-256 | e2e682845fada5187326fb313daf385fa83902881b55dfdac6cc9931aa73cf9d |