NLP情绪:以肯定的方式使用否定词时会产生错误的结果 [英] NLP Sentiments: Giving wrong result when using negative word in positive way

问题描述

我正在使用NodeJs在情感库

问题在于，如果以肯定的方式使用否定词，则会给出错误的结果.

The problem is that it is giving wrong results when a negative word is used in a positive manner.

var sentiment = require('sentiment');

var result = sentiment('I am dying to eat a kitkat!');
console.dir(result);   

{得分:-3，可比较:-0.42857142857142855，令牌:['i'， 'am'，'dying'，'to'，'eat'，'a'，'kitkat']，单词:['dying']，
正面:[]，负面:['垂死']}

{ score: -3, comparative: -0.42857142857142855, tokens: [ 'i', 'am', 'dying', 'to', 'eat', 'a', 'kitkat' ], words: [ 'dying' ],
positive: [], negative: [ 'dying' ] }

///or

result = sentiment('your internet is not bad', knowladgeBase);
console.dir(result);

{得分:-3，可比性:-0.6，令牌:['your'，'internet'， 'is'，'not'，'bad']，单词:['bad']，正数:[]，负数: ['坏']}

{ score: -3, comparative: -0.6, tokens: [ 'your', 'internet', 'is', 'not', 'bad' ], words: [ 'bad' ], positive: [], negative: [ 'bad' ] }

推荐答案

如果您不想自己实现情感分析系统，而不想尝试使用其他库.但是，如果您有兴趣实施一个，这里有一个解决方案. 基本而言，情感分析系统使用两种方法来解决该问题. -基于词典的方法 -基于语料库的方法

if you don't want to implement a sentiment analysis system by yourself than try using another library. But if you are interested in implementing one, here is a solution. In a basic manner, sentiment analysis systems use two approaches to solve the problem. - Lexicon-based approaches - corpus-based approaches

您正在使用的库使用基于字典的简单算法.如果要使用更高级的系统，请使用情感词典，例如 SentiWordNet 或

The library you are using, uses a simple lexicon-based algorithm. If you want to have a more advanced system use a sentiment lexicon such as SentiWordNet or SenticNet together with Part-Of-Speech (POS) tagging. You can find negative and positive words. Then use some simple rules. - If a negative word has came with a negative verb, the statement is positive. - If a negative word has came with a positive verb, the statement is negative. - If a positive word has came with a positive verb, the statement is positive. - If a positive word has came with a negative verb, the statement is negative.

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