Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: PSDVec is a Python/Perl toolbox that learns word embeddings, i.e. the mapping of words in a natural language to continuous vectors which encode the semantic/syntactic regularities beten the words. PSDVec implements a word embedding learning method based on a ighted low-rank positive semidefinite approximation. To scale up the learning process,  implement a blockwise online learning algorithm to learn the embeddings incrementally. This strategy greatly reduces the learning time of word embeddings on a large vocabulary, and can learn the embeddings of new words without re-learning the whole vocabulary. On 9 word similarity/analogy benchmark sets and 2 Natural Language Processing (NLP) tasks, PSDVec produces embeddings that has the best average performance among popular word embedding tools. PSDVec provides a new option for NLP practitioners.
['Shaohua Li', 'Jun Zhu', 'Chunyan Miao']
I am writing a research paper on a idea PSDVec: a Toolbox for Incremental and Scalable Word Embedding
[{"from": "human", "value": "I am writing a research paper on a idea PSDVec: a Toolbox for Incremental and Scalable Word Embedding"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: PSDVec is a Python/Perl toolbox that learns word embeddings, i.e. the mapping of words in a natural language to continuous vectors which encode the semantic/syntactic regularities beten the words. PSDVec implements a word embedding learning method based on a ighted low-rank positive semidefinite approximation. To scale up the learning process,  implement a blockwise online learning algorithm to learn the embeddings incrementally. This strategy greatly reduces the learning time of word embeddings on a large vocabulary, and can learn the embeddings of new words without re-learning the whole vocabulary. On 9 word similarity/analogy benchmark sets and 2 Natural Language Processing (NLP) tasks, PSDVec produces embeddings that has the best average performance among popular word embedding tools. PSDVec provides a new option for NLP practitioners."}]