Metadata-Version: 2.1
Name: sen2vec
Version: 1.23
Summary: - A sen2vec MODEL that can transform sentence to vector, 1.23 for Finance mainly, pytorch needed.
Home-page: UNKNOWN
Author: xczcx
Author-email: 2292879219@qq.com
License: UNKNOWN
Description: - Sen2vec module provides convenient solution to transform sentences to vectors.
        - The vectors transformed contain high level of information of the original sentences, 
        - and this method has a wide range of applications in downstream tasks.
        - The method could be directly applied to NLP tasks, 
        - as well as other machine learning assignments, integrated with any structured data.
        - According to application scenarios, such as the sample size of downstream tasks,
        - the dimension of vector extracted by sen2vec varies.
        - The vectors transformed are able to carry out the four fundamental operations of arithmetic,
        - and could calculate the average, the intersection angle and the distance,
        - based on different code instructions of the original information.
        - The method sen2vec_fi is currently used to analyze financial texts,
        - and will be developed into different versions to meet demands in diverse areas. 
        - There are two ways to employ sen2vec:
        - Use the default models we provide by function sen2vec_download() and sen2vec_fi
        - Use the self-defined models: from sen2vec import sen2vec
        - For more information: Please contact author.
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.5
Description-Content-Type: text/markdown
