Welcome to the AI Toolkit's Natural Language Processing (NLP) Toolkit documentation. This guide will provide you with an overview of the NLP Toolkit features, its usage, and how to integrate it into your applications.
Overview
The NLP Toolkit is designed to help developers leverage advanced NLP capabilities without needing to be experts in the field. It includes a variety of functionalities such as text classification, sentiment analysis, entity recognition, and more.
Features
- Text Classification: Classify text into predefined categories.
- Sentiment Analysis: Determine the sentiment of a given text.
- Entity Recognition: Identify and classify named entities in text.
- Language Detection: Detect the language of a given text.
- Translation: Translate text between supported languages.
Getting Started
To get started with the NLP Toolkit, you'll need to sign up for an account on our developer portal.
Usage
Here's an example of how to use the NLP Toolkit to classify text:
from nlp_toolkit import TextClassifier
classifier = TextClassifier('your_api_key')
result = classifier.classify('This is a sample text.')
print(result)
For more detailed examples, please refer to our NLP Toolkit Examples.
Resources
Image Gallery
Here are some examples of entities recognized using our NLP Toolkit:
For more information on entities and how they are recognized, please refer to our Entity Recognition documentation.
Note: If you have any questions or need further assistance, please feel free to reach out to our support team at support@aitoolkit.com.