Polyglot 自然语言处理工具包使用教程

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Polyglot 自然语言处理工具包使用教程

polyglot Multilingual text (NLP) processing toolkit 项目地址: https://gitcode.com/gh_mirrors/pol/polyglot

1. 项目介绍

Polyglot 是一个自然语言处理（NLP）工具包，支持大规模多语言应用。它提供了多种语言处理功能，包括分词、语言检测、命名实体识别、词性标注、情感分析、词向量、形态学分析以及音译等。

2. 项目快速启动

首先，确保您的环境中已经安装了 Python。以下是快速启动 Polyglot 的步骤：

# 安装 Polyglot
pip install polyglot

# 导入 Polyglot
from polyglot.text import Text

# 创建一个 Text 对象
text = Text("Bonjour, Mesdames.")

# 检测语言
print("Language Detected: Code={}, Name={}".format(text.language.code, text.language.name))

# 分词
zen = Text("Beautiful is better than ugly. Explicit is better than implicit. Simple is better than complex.")
print(zen.words)

# 分句
print(zen.sentences)

# 词性标注
text = Text("O primeiro uso de desobediência civil em massa ocorreu em setembro de 1906.")
for word, tag in text.pos_tags:
    print("{:<16}{}".format(word, tag))

3. 应用案例和最佳实践

语言检测

text = Text("Hello, world!")
print("Detected language:", text.language.code)

命名实体识别

text = Text("In Großbritannien war Gandhi mit dem westlichen Lebensstil vertraut geworden")
print(text.entities)

情感分析

for word in zen.words[:6]:
    print("{:<16}{}".format(word, word.polarity))

词向量

word = Word("Obama", language="en")
print("Neighbors (Synonyms) of:", word)
for w in word.neighbors:
    print(w)
print("The first 10 dimensions out of {} dimensions".format(word.vector.shape[0]))
print(word.vector[:10])

形态学分析

word = Text("Preprocessing is an essential step.").words[0]
print(word.morphemes)

音译

from polyglot.transliteration import Transliterator
transliterator = Transliterator(source_lang="en", target_lang="ru")
print(transliterator.transliterate("preprocessing"))