Gensim是用于主题和向量空间建模、文档相似性的包。Patternlibrary的主要任务是作为网络挖掘模块。因此，它仅将自然语言处理（NLP）作为辅助任务。Polyglot是NLP领域的另一个Python包。虽然它不是很流行，但也可以用于广泛的NLP任务。为了使比较更加生动，我们准备了一张表格，展示了这些库的优缺点。结论 在本文中，我们...
深度学习自然语言处理时代,斯坦福大学自然语言处理组开发了一个纯Python版本的深度学习NLP工具包:Stanza - A Python NLP Library for Many Human Languages,前段时间,Stanza v1.0.0 版本正式发布,算是一个里程碑: Stanza 是一个纯Python实现的自然语言处理工具包,这个区别于斯坦福大学自然语言处理组之前一直维护的Java...
This library is revolves around three core classes: a NIFContext is a document (a string); a NIFPhrase is the annotation of a snippet of text (usually a phrase) in a document; a NIFCollection is a set of documents, which constitutes a collection. In NIF, each of these objects is iden...
This handy NLP libraryprovides developers with awide range of algorithms for building machine-learning models.It offers many functions for thebag-of-words method of creating features to tackle text classification problems.The strength of this library is theintuitive class methods. However, the library...
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages - stanfordnlp/stanza
深度学习自然语言处理时代,斯坦福大学自然语言处理组开发了一个纯Python版本的深度学习NLP工具包:Stanza - A Python NLP Library for Many Human Languages,前段时间,Stanza v1.0.0 版本正式发布,算是一个里程碑: Stanza是一个纯Python实现的自然语言处理工具包,这个区别于斯坦福大学自然语言处理组之前一直维护的Java...
from allennlp.predictors.predictor import Predictor # 加载命名实体识别模型 predictor = Predictor.from_path("https://storage.googleapis.com/allennlp-public-models/ner-model-2020.02.10.tar.gz") # 文本命名实体识别示例 text = "AllenNLP is a powerful library for NLP tasks." result = predictor.predict...
Python Imaging Library(PIL) 已经成为 Python 事实上的图像处理标准库了,这是由于,PIL 功能非常强大,但API却非常简单易用。但是由于PIL仅支持到 Python 2.7,再加上年久失修,于是一群志愿者在 PIL 的基础上创建了兼容的版本,名字叫 Pillow,支持最新 Python 3.x,又...
text="I love Pattern library!"sentiment_score=sentiment(text)print(f"Sentiment Score: {sentiment_score}")# 复数形式转换 word="apple"plural_word=pluralize(word)print(f"Singular: {word}")print(f"Plural: {plural_word}") 1. 2. 3.
from nltk.tag import pos_tag from nltk.tokenize import word_tokenize text = "NLTK is a powerful library for NLP." tokens = word_tokenize(text) pos_tags = pos_tag(tokens) print("词性标注结果:", pos_tags) 输出结果: 词性标注结果: [('NLTK', 'NNP'), ('is', 'VBZ'), ('a', 'DT...