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Training word embeddings in Python part 2 | Word2Vec tutorial

In this video, we will about training word embeddings by writing a python code. So we will write a python code to train word embeddings. To train word embeddings, we need to solve a fake problem. This ...
GitHub

word2Vec and Glove implementation using numpy.

In word2vec and glove, we generate an embedding space for the words. The program outputs a vector.txt file which contains the embedding vectors. run_word2vec : runs ...
GitHub

Turkish Pre-trained Word2Vec Model

This tutorial introduces how to train word2vec model for Turkish language from Wikipedia dump. This code is written in Python 3 by using gensim library. Turkish is an agglutinative language and there ...
IEEE

Research on the Improved Word2Vec Optimization Strategy Based on Statistical Language Model

Abstract: In order to improve the text matching degree and calculation accuracy of the short text classification method, this paper studies the optimization of the short text classification method of ...
IEEE

Design and Implementation of Work Order Acceptance System Based on Microservice Architecture

Abstract: Professional customer service to solve or circulate corresponding customer problems can not only solve customer problems quickly, improve the service image of the enterprise, but also lay a ...

耗时 17.7 微秒、提速 8.5 倍，Facebook AI 相似性搜索库 Faiss 的核心奥义 ...

通过 Faiss 进行相似性搜索时，10 亿图像数据库上的一次查询仅耗时 17.7 微秒，速度较之前提升了 8.5 倍，且准确度也有所提升。 除图片检索外，相似性搜索还有更广阔的运用场景。例如，通过搜索数据库来判断某一罪行是否属于较严重的犯罪形式，或有重罪趋势；通过搜索和成功店铺所在地相似的人口特征和环境特征，来寻找零售商新店的最佳位置；通过相似城市的搜索，来衡量所在城市薪资水平是否合理等。