TextRazor is a natural language processing API that extracts meaning, entities, and relationships from text, powering advanced content analysis and sentiment detection
This tool retrieves comprehensive information about a textrazor account, providing essential details about the account's status, usage, and limits. it returns an account object containing properties such as the current subscription plan, concurrent request limits, and daily usage among others, making it crucial for monitoring api usage, managing requests, and ensuring compliance with subscription limits.
This tool will classify text into predefined categories using textrazor's classification capabilities. it takes input text, optional cleanup mode and language, and returns a list of relevant categories with their confidence scores from the analysis. the tool supports various built-in classifiers including: - textrazor iab: iab qag segments - textrazor iab content taxonomy 3.0: iab content taxonomy v3.0 (2022) - textrazor mediatopics 2023q1: latest iptc media topics (march 2023) - and other versions of these taxonomies
This tool manages custom classifiers in textrazor, allowing users to create, update, and manage custom classification categories.
The dependencytreesaction analyzes the grammatical relationships between words in text by creating dependency trees. it provides detailed syntactic analysis by identifying the grammatical relationships between words and their parent words in a sentence. this tool is useful for: - understanding sentence structure - analyzing grammatical relationships - parsing complex sentences - supporting advanced linguistic analysis tasks
The textrazor dictionary manager tool allows users to create, update, and manage custom entity dictionaries in textrazor. it provides endpoints for creating/updating dictionaries, listing dictionaries, getting a specific dictionary, and deleting dictionaries, as well as managing the entries within these dictionaries (adding, retrieving, and deleting entries).
This tool extracts entailments from text using textrazor's api. it identifies words or phrases that can be logically inferred from the given text by analyzing logical implications and relationships.