sen2vec 1.23

- A sen2vec MODEL that can transform sentence to vector, 1.23 for Finance mainly, pytorch needed.

• 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.