Connect aikstockdata to Rosette Text Analytics

Both apps 28aikstockdata 14Rosette Text Analytics 14

• Trigger
  New disclosure

  Triggered when a new Korean regulatory disclosure is filed. Reads the publisher's rolling seven-day filing feed and fires once per filing, with the type, the headline figures, the materiality score and a link to the original.

• Action
  Find stocks by search index

  Search/look up stocks by name or code using the full stock search index.

• Action
  Get disclosure impact analysis

  Get the analysis of stock price movement following each type of disclosure.

• Action
  Get earnings scoreboard

  Get the earnings scoreboard summarizing recent company earnings results.

• Action
  Get market index history

  Get daily closing history for the KOSPI and KOSDAQ market indices.

• Action
  Get stock detail

  Get detailed data for a single Korean-market stock by its code.

• Action
  Get stock price history

  Get the daily historical price time series for a single stock by its code.

• Action
  Get today's market digest

  Get a digest summary of today's market activity.

• Action
  List disclosures

  List the full briefing of regulatory disclosures.

• Action
  List earnings calendar

  List recently filed Korean earnings reports — the 80 largest companies by market cap plus the 70 most recent filings, with the period reported and the headline figures. These are filings already received, not scheduled future release dates.

• Action
  List quotes

  List closing quotes for every listed stock.

• Action
  List rankings

  List stock market rankings.

• Action
  List top 300 quotes by market cap

  List quotes for the top 300 stocks ranked by market capitalization.

• Action
  List top disclosures

  List the top 100 most significant disclosures ranked by importance.

• Action
  Analyze morphology

  Returns morphological analysis of text, such as lemmas, part-of-speech tags, compound components and Han readings.

• Action
  Analyze sentiment

  Analyzes the positive, negative or neutral sentiment of a text, returning the overall document sentiment and the sentiment toward each entity mentioned.

• Action
  Categorize text

  Identifies the contextual categories (QAG Tier 1 taxonomy) of a piece of text or a web page, with a confidence for each.

• Action
  Deduplicate names

  Groups a list of names into clusters of likely duplicates, returning one cluster ID per name in the order supplied.

• Action
  Extract entities

  Extracts the named entities (people, organizations, places and more) from text or a web page, optionally linking them to a knowledge base.

• Action
  Extract events

  Extracts events (such as travel or meetings) from a piece of text, returning each event's type, participants and roles, and whether it was negated.

• Action
  Extract relationships

  Finds the relationships between people, organizations and other entities in a piece of text, returning each subject, predicate, object and a confidence score.

• Action
  Extract topics

  Returns the key phrases and concepts found in a piece of text or a web page, each with a salience score.

• Action
  Identify language

  Identifies the language(s) of a piece of text or web page, returning candidate languages ranked by confidence.

• Action
  Match addresses

  Compares two addresses and returns a similarity score indicating how likely they refer to the same place.

• Action
  Match names

  Compares two names, in any supported language or script, and returns a similarity score showing how likely they refer to the same person, place or organization.

• Action
  Tokenize text

  Splits text into a list of tokens (words and punctuation).

• Action
  Translate name

  Translates a person, place or organization name into another language and script.

• Action
  Transliterate text

  Transliterates Arabic text between Arabizi (Romanized Arabic) and native Arabic script.

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