ELI

API

Thai Natural Language Processing API for Text Analysis

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Overview

ELI API provides RESTful endpoints for Thai-specific NLP tasks including sentiment analysis, tokenization, part-of-speech tagging, named entity recognition, and text summarization. Responses are in JSON format, enabling easy integration into applications. Use cases include analyzing customer feedback sentiment, tokenizing Thai text for content indexing, extracting entities from news articles, and categorizing Thai content for moderation or personalization. It supports Thai nuances like tonal word segmentation and dialect adaptations, making it ideal for businesses targeting Thai-speaking audiences.

Example Integration (JavaScript)

script.js JS 

fetch('https://nlp.insightera.co.th/docs/v1.0')
  .then(res => res.json())
  .then(data => console.log(data))
  .catch(err => console.error(err));

Key Features

  • RESTful API Architecture
  • Specialized for Thai Language NLP
  • Supports Sentiment Analysis, Tokenization, NER & POS Tagging
  • JSON Response Format
  • Thai-Specific Tonal & Dialect Processing

Frequently Asked Questions

? Is ELI free to use?

ELI follows a freemium model: free access to basic features with rate limits, and paid tiers for advanced functionality, higher request volumes, or priority support.

? Does it require an API Key?

Yes, you need to register for an API key via the official website to authenticate and access ELI's endpoints.

? What is the response format?

All responses from ELI are in JSON format, widely supported across programming languages for easy parsing.

Top Alternatives

PyThaiNLP (Open Source Thai NLP Library) Search Google
Thai NLP Toolkit by Chulalongkorn University Search Google

People Also Ask about ELI

ELI vs PyThaiNLP (Open Source Thai NLP Library)ELI vs Thai NLP Toolkit by Chulalongkorn University ELI 2025 review

Tool Info

Pricing Freemium
Category Text Analysis
Platform Public API

Pros

  • ⊕ Niche Focus on Thai Language (Rare in General NLP Tools)
  • ⊕ Comprehensive Feature Set for Text Analysis
  • ⊕ Well-Documented Endpoints & Usage Guidelines
  • ⊕ Seamless Integration with Modern Apps

Cons

  • ⊖ Limited to Thai Language Only
  • ⊖ Potential Rate Limits on Free Tier
  • ⊖ Smaller Community Support Than English NLP APIs

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