transliterate_text
Converts text from one script to another without translation, preserving the phonetic representation. For example, converts Arabic or Cyrillic script text to Latin script, or romanized Arabic text to standard Arabic characters.
analyze_sentiment
Determines sentiment in text at the document level and optionally at the entity level. Returns sentiment labels (pos, neu, neg) with confidence scores. Entity-level analysis identifies entities and determines the sentiment expressed toward each one.
analyze_morphology
Performs morphological analysis on text, returning part of speech tags, lemmas (dictionary form), compound components, and Han readings for each token. Can return all features at once or individual features.
detect_language
Identifies the language of a given text. Supports detection across 55 languages. Can optionally use multilingual detection mode to identify language regions within the same document, useful when text contains multiple languages.
translate_name
Translates a name from one language to another, using knowledge of language-specific naming conventions. Recognizes when to transliterate a name phonetically vs. translate meaning (e.g., titles). Supports 13 source languages to English, and translation between Chinese, Japanese, and Korean.
compare_addresses
Compares two addresses to determine whether they refer to the same location. Accepts both structured addresses (with individual fields) and unstructured addresses (as plain text strings). Can mix structured and unstructured formats.
extract_topics
Discovers central keywords and concepts from text. Unlike categorization or entity extraction, topic extraction is not constrained by a finite list. It identifies "keyphrases" (exact terms) and "concepts" (broader ideas) ranked by relative importance.
compare_names
Compares two names and returns a similarity score between 0 and 1. Accounts for typographical errors, phonetic spelling variations, transliteration differences, initials, nicknames, and cross-language variations. Supports PERSON, LOCATION, and ORGANIZATION entity types.
deduplicate_names
Identifies and groups duplicate names from a list, accounting for linguistic variations across languages and scripts. Useful for cleaning databases with duplicate records, merging contact lists, or consolidating name data.
split_sentences
Splits text into individual sentences. Useful for preprocessing text before further NLP analysis, or for breaking large documents into sentence-level units.
categorize_text
Classifies text content under topic categories drawn from the IAB Quality Assurance Guidelines Taxonomy (Tier 1 contextual categories). Useful for automatically tagging documents, web pages, or articles by topic.
compare_records
Compares structured data records with multiple fields to determine similarity. Each record can contain up to 5 fields of types including name, address, date, number, boolean, and string. Fields can be individually weighted to control their impact on the final match score. Compares left records against right records pairwise.
get_text_embedding
Generates a numerical vector representation (embedding) of text for semantic similarity computation. Transforms text ranging from a single word to an entire document into a vector in semantic space. Supports cross-lingual semantic comparison without translation.
get_syntax_dependencies
Provides syntactic dependency parse trees showing grammatical relationships between tokens in sentences. Each token is annotated with its dependency role (e.g., subject, object, modifier) relative to its head word.
extract_relationships
Extracts relationships between entities in text. Identifies the grammatical and semantic connections between two entities, recognizing the action or predicate that connects them. Uses a combination of deep learning and semantic rules.
tokenize_text
Splits text into individual tokens (words, numbers, punctuation) using advanced statistical modeling. Particularly useful for languages like Chinese, Japanese, and Thai where word boundaries are not marked by spaces.
extract_entities
Extracts named entities from text, identifying up to 18 entity types (PERSON, LOCATION, ORGANIZATION, PRODUCT, etc.) across 20 languages. Optionally links entities to Wikidata, DBpedia, or Refinitiv PermID knowledge bases for disambiguation. Can also calculate salience and confidence scores.
Manage repositories, issues, and pull requests. Create and configure branches, star repositories, review code, and merge changes. Automate CI/CD workflows with GitHub Actions, manage workflow runs, secrets, and artifacts. Track issues with labels, milestones, and assignees. Search across code, repositories, issues, and users. Manage organizations, teams, and memberships. Create and manage projects, gists, packages, deployments, and environments. Access security alerts including code scanning, secret scanning, and Dependabot alerts. Read and write file contents in repositories. Manage webhooks, notifications, and codespaces.
Manage SharePoint sites, document libraries, lists, and files. Create, read, update, and delete lists and list items with custom columns. Upload, download, move, copy, and version files in document libraries. Search across sites, files, folders, lists, and list items using Microsoft Search. Manage permissions at site, list, and item levels with granular access control. Define and manage content types and site columns. Subscribe to webhooks for list and library change notifications. Retrieve site properties and search for sites across Microsoft 365.
Manage CRM data including Accounts, Contacts, Leads, Opportunities, Cases, and custom objects. Create, read, update, and delete records. Query data using SOQL and search across objects using SOSL. Perform bulk data operations for large-scale imports, exports, and migrations. Execute composite requests to batch multiple operations in a single API call. Access analytics, reports, and dashboards. Manage files and attachments associated with records. Interact with Chatter feeds, posts, and groups for social collaboration. Subscribe to real-time change events via Change Data Capture and Platform Events. Manage org metadata including custom objects, fields, layouts, and workflows. Query data using GraphQL for precise data retrieval across related objects.
Create, read, update, and delete records in Airtable bases and tables. Manage base schemas including creating tables and fields. Filter records using formulas, sort by fields, and scope queries to specific views. Upsert records to find, create, or update in a single call. Upload attachments to records, read and write record comments, list accessible bases, and receive real-time base change events through webhooks.
Manage Git repositories, pull requests, and CI/CD pipelines on Bitbucket Cloud. Create, fork, and configure repositories within workspaces and projects. Create, review, approve, merge, and decline pull requests with inline code comments. Browse source code, list commits, and manage branches and tags. Track issues with the built-in issue tracker. Trigger, monitor, and manage Bitbucket Pipelines. List workspace members, configure repository default reviewers and branch restrictions, create and manage repository webhooks, and search code across repositories.
Deploy, manage, and scale applications on Heroku's cloud platform. Create and configure apps, scale dynos, provision add-ons (databases, caching, etc.), manage configuration variables, build and release code, add custom domains and SSL certificates, manage collaborators and team permissions, configure pipelines for continuous delivery, set up log drains, and sync data with Salesforce via Heroku Connect. Subscribe to webhooks for real-time notifications on app changes, builds, releases, dyno lifecycle events, and more.
Analyze unstructured and semi-structured text using natural language processing across Asian, European, and Middle Eastern languages. Extract entities (persons, locations, organizations, products) and link them to knowledge bases like Wikidata and DBpedia. Determine sentiment at document or entity level. Compare and match names across languages accounting for transliterations, nicknames, and spelling variations. Translate names between 13+ languages. Deduplicate name lists across scripts. Compare address and record similarity. Extract relationships and events connecting entities. Categorize documents by topic using IAB taxonomy. Discover keyphrases and concepts via topic extraction. Perform morphological analysis including part-of-speech tagging, lemmatization, and compound decomposition. Tokenize text, detect sentences, identify languages (55 supported), compute semantic similarity via text embeddings, parse syntactic dependencies, and transliterate text between scripts.
Common questions about connecting Rosette Text Analytics to AI agents with Metorial.
