Semantria API: A Deep Dive into Usage

Semantria, a Natural Language Processing (NLP) API from Lexalytics, offers a powerful suite of text analytics capabilities. This article explores how to utilize Semantria's features, drawing directly from the provided search results.

Understanding Semantria's Capabilities

Semantria's core functionality is wrapped in a RESTful API, providing access to text analytics and NLP features powered by the Salience engine. Key capabilities include:

• Sentiment Analysis: Determine the overall sentiment (positive, negative, neutral) expressed in text.
• Categorization: Classify text into predefined categories.
• Named Entity Extraction: Identify and extract named entities (people, organizations, locations, etc.) from text.
• Theme Analysis: Identify the main topics or themes discussed in text.
• Intention Detection: Determine the user's intent or purpose behind the text.
• Summarization: Generate concise summaries of longer texts.

Semantria boasts broad language support, handling numerous languages and dialects. Furthermore, its highly tunable nature allows customization to match industry-specific vocabularies and individual specifications. The system is infinitely scalable, handling from a few thousand to billions of documents daily.

Deployment Options

Semantria offers unparalleled flexibility in deployment:

• On-Premise: Deploy Semantria on your own servers for maximum control and security, especially beneficial for highly sensitive data subject to regulations like GDPR. This makes it the world's first on-premise SaaS text analytics system.
• Public Cloud: Utilize public cloud infrastructure for cost-effective processing of large volumes of data.
• Private Cloud: Deploy Semantria within your private cloud environment for enhanced security and control.
• Hybrid Cloud: Combine on-premise and cloud deployments for optimal balance of cost, security, and scalability.

Integration and Usage

Semantria provides a RESTful API with graphical configuration and user management tools. Companies can integrate Semantria to add customizable NLP functionalities. Data analyst teams and consultancies can connect Semantria to their preferred business intelligence tools. The API is easy to use and straightforward to integrate.

Example Code (Node.js)

The following code snippet, using the Semantria Node.js package, demonstrates sentiment analysis and entity extraction:

const Semantria = require('semantria');
const semantria = new Semantria({
  consumerKey: 'YOUR_CONSUMER_KEY',
  consumerSecret: 'YOUR_CONSUMER_SECRET',
  useCompression: true
});

// Sentiment analysis
semantria.createDocument({
  id: '1',
  text: 'I love this product!',
  language: 'English'
}, (err, res) => {
  if (err) { console.error(err); return; }
  console.log(res);
});

// Entity extraction
semantria.createBatchDocuments([
  {
    id: '1',
    text: 'I love Nike shoes and Adidas clothes',
    language: 'English'
  }
], {
  language: 'English',
  documentType: 'text',
  processingMode: 'disambiguation',
  entityExtraction: {
    enabled: true,
    selectionPolicy: 'strict',
    entityThreshold: 0.05
  }
}, (err, res) => {
  if (err) { console.error(err); return; }
  console.log(res);
});

Remember to replace YOUR_CONSUMER_KEY and YOUR_CONSUMER_SECRET with your actual API keys. More detailed documentation is available at https://semantria-docs.lexalytics.com/.

Conclusion

Semantria provides a robust and flexible solution for integrating advanced text analytics into various applications. Its diverse deployment options and customizable features cater to a wide range of needs and security requirements. The user-friendly API simplifies integration, making Semantria a valuable tool for businesses seeking to extract valuable insights from unstructured text data.