This article introduces how to use @kit.NaturalLanguageKit in HarmonyOS for text word segmentation and implement a simple sentiment analysis function. By creating a TextProcessingWordSegment component, users can input evaluation text, click a button to perform sentiment analysis, and finally display the sentiment tendency (positive, negative, or neutral) of the evaluation.

import { textProcessing } from '@kit.NaturalLanguageKit';

@Entry @Component struct TextProcessingWordSegment { @State comment: string = 'The logistics is fast, the packaging is good, and I am particularly satisfied with the product'; @State label: string = ''

  build() { 
    Column({ space: 20 }) { 
      TextArea({ text: this.comment }) 
        .height(200) 
      Text('Evaluation Nature: ' + this.label) 
      Button('Sentiment Analysis') 
        .onClick(async () => { 
          const results = await textProcessing.getWordSegment(this.comment) 
          const words = results.map(item => item.word) 
          const service = new SentimentAnalysisService() 
          this.label = service.analyze(words) 
        }) 
    } 
    .padding(15) 
    .height('100%') 
    .width('100%') 
  } 

}

// Sentiment Analysis Service Class class SentimentAnalysisService { private positiveWords = ['good', 'satisfied', 'great', 'excellent', 'fast']; private negativeWords = ['bad', 'slow', 'expensive', 'awful', 'unsatisfied'];

  analyze(words: string[]) { 
    let score = 0.5; 
    words.forEach(word => { 
      if (this.positiveWords.includes(word)) { 
        score += 0.1; 
      } 
      if (this.negativeWords.includes(word)) { 
        score -= 0.1; 
      } 
    }); 
    score = Math.max(0, Math.min(1, score)); 
    const label = score > 0.6 ? 'Positive' : score < 0.4 ? 'Negative' : 'Neutral'; 
    return label; 
  } 
}