Getting Started
Get Vector function provides the embedding vector for a given input argument.
Example
# coding:utf-8 from indicLP.preproccessing import Embedding language = "ta" word = "புத்தகம்" embedder = Embedding(lang=language) print(embedder.get_vector(word)) #Output is: # [-0.38245687 -0.43007085 0.75659156 -0.029661 0.42061085 -0.78045815 # -0.28127694 -1.0599478 -0.1264891 -0.42795 0.39396504 -0.79804516 # 0.03756442 0.24138477 -0.1513924 0.31122482 0.46426052 -1.2080644 # -0.40227187 0.7438162 -0.4533786 0.40707597 -0.25478044 0.19656514 # 0.5389387 0.2874967 0.43010154 0.13535404 -0.4051279 0.03866816 ...
Input Arguments
Following are the input arguments to be provided while using get_vector method:
- word: A string representing the word for which the vector is needed.
Reference Materials
Following are some reference materials for Get Vector Method
- Word Embedding: A reference blogpost discussing the usage of Embedding Class in hardcoded string.
- Stanford RCpedia: RCpedia NLP slides on word embeddings provided by Stanford.