Python中基于NRC情感词典的情感分析

Question

如何在Python中使用词典文件(即NRC情感词典)进行情感分析？

Answer 1

也许这会对http://jonathansoma.com/lede/algorithms-2017/classes/more-text-analysis/nrc-emotional-lexicon/有帮助

import pandas as pd
filepath = "NRC-Emotion-Lexicon-v0.92/NRC-emotion-lexicon-wordlevel-alphabetized-v0.92.txt"
emolex_df = pd.read_csv(filepath,  names=["word", "emotion", "association"], skiprows=45, sep='\t')
emolex_df.head(12)

Answer 2

我建议您看看这个存储库，它提供了一些到字典的接口。看起来他们也有一个皮皮人

https://github.com/metalcorebear/NRCLex

from nrclex import NRCLex

#Instantiate text object (for best results, 'text' should be unicode).

text_object = NRCLex('text')

#Return words list.

text_object.words

#Return sentences list.

text_object.sentences

#Return affect list.

text_object.affect_list

#Return affect dictionary.

text_object.affect_dict

#Return raw emotional counts.

text_object.raw_emotion_scores

#Return highest emotions.

text_object.top_emotions

#Return affect frequencies.

text_object.affect_frequencies