Source: Machine Learning AI Algorithm Engineer This article is approximately 1000 words, and it is recommended to read in 5minutes. This article introduces six common patterns of text vectorization. 1. Text Vectorization Text vectorization: representing text information as vectors that can express the semantics of the text, using numerical vectors to represent the semantics of … Read more
Introduction Text similarity is a fundamental task in the industrialization of NLP. Many applications require calculating the degree of similarity between two texts, including deduplication of similar texts in text retrieval, matching queries with standard template questions in question-answering systems, and semantic judgment of sentence pairs. This task can be categorized based on different criteria: … Read more
Author: Emmanuel Ameisen Source: Machine Heart This article is approximately 5000 words long and is recommended to read in 9 minutes. This article explains how to process natural language in the field of artificial intelligence. Natural Language Processing (NLP) is one of the two most important directions in the field of artificial intelligence, just like … Read more
Source: DeepHub IMBA This article is about 3500 words long and is recommended to be read in 5 minutes. In this article, several methods for extracting keywords from statistical, graph-based, and embedding approaches are introduced. Keyword extraction methods can find relevant keywords in documents. In this article, I summarize the most commonly used keyword extraction … Read more