Understand the language of the financial industry automatically

Analyze your financial contents to interpret them according to a standard vocabulary (FIBO). Detect, disambiguate and standardize the financial concepts that appear and use this information to extract data, define categorization models or perform domain-specific sentiment analysis. Make your financial documents more automatically exploitable, analyzable and valuable.

Text analytics for the financial Industry by MeaningCloud

In the financial industry, precision of meaning is of paramount importance. In the commercial, legal, risk management and regulatory fields of this industry it is indispensable to know exactly what operation, product or condition is being discussed. In few activities a data misinterpretation can have more serious consequences.

Unfortunately, financial terminology has suffered an explosion that sometimes impedes to accurately understand the information: inconsistent nomenclature makes it difficult to compare data and even harder to understand inherently complex financial processes. To counteract it, various organizations have advanced in the construction of ontologies for the industry, which define and allow to standardize and disambiguate typical concepts and relationships in the field. Applying them, it is easier to interpret financial documents by automatic means in accounting, regulatory compliance or risk management scenarios.

MeaningCloud’s Financial Industry Vertical Pack is based on the FIBO (Financial Industry Business Ontology) Vocabulary.

A standard vocabulary for financial services

FIBO, developed by the Enterprise Data Management Council (EDMCouncil), is an ontology that defines the set of things that are of interest in financial business applications, and the ways that those things can relate to one another. FIBO uses Web Ontology Language (OWL) to semantically define core financial industry concepts and relationships, so that each real-world concept is framed in a way that is unambiguous and that is readable both by humans and machines. FIBO can give meaning to any data (e.g., spreadsheets, databases, documents) that describe the business of finance.

The FIBO Vocabulary is implemented within the vertical pack as a dictionary that allows to detect the occurrences of the concepts, disambiguate them according to the context and provide complementary semantic information such as the link to the node of the FIBO ontology from which they come.

The dictionary is structured according to the FIBO Vocabulary domains, which are:

  • Foundations: Organizations, Products and Services, Accounting, Agreements, Laws ...
  • Business Entities: Corporations, Government Entities, Legal Entities
  • Financial Business and Commerce: Debt and Equities, Financial Instruments ...
  • Indices and Indicators: Economic Indicators, Interest Rates ...
  • Securities: Debt, Equities ...
  • Derivatives: Derivatives Contracts, Rate Derivatives ...

The dictionary is accessible from the Topics Extraction, Deep Categorization, Sentiment Analysis, and Lemmatization, PoS and Parsing APIs, to allow the use of the identified financial concepts in information extraction, rule-based categorization, domain-specific opinion analysis, and morphosyntactic and semantic tagging of the text.

Benefits of a standard vocabulary

FIBO is like a “Rosetta stone” that provides a common language between organizations and systems, reduces the costs of doing business and promotes confidence in data among users. A common vocabulary helps to explore connections and relationships between instruments and business entities to determine financial flows, unravel risks and identify relationships that were not previously possible.

From this unified view of meaning, firms can use MeaningCloud’s Financial Industry Vertical Pack to:

Data harmonization and integration

The alignment of content to its explicit meaning makes the integration of data sources easier, reduces errors of interpretation, and fosters reusability.

Reporting and analytics

Analyze financial reports with a unified, inference-based perspective to identify complex relationships, detect risks and classify financial instruments.

Regulatory compliance

Automatically assess your compliance related documents (plans, policies) to understand, manage and apply them better, avoiding risks of non-compliance.

Risk management

Analyze and mine financial documents to discover patterns and detect risks of various kinds.

Process automation

Extract the meaning and relevant data from financial documents to automatically incorporate them into your processes in RPA scenarios.

Advantages of the Financial Industry Pack: the shortest time-to-benefit

Speed and ease of use

You can start using this Pack to analyze financial content immediately, without having to develop your own dictionaries or models. Integrate it into your applications and embed it into your processes through our standard APIs.

Valuable insights

The Pack enables you to identify and disambiguate concepts from a broad standard vocabulary for the financial industry.

Leverage it for insights extraction, categorization and sentiment analysis

Use the concepts identified from the dictionary in complex data extraction, rule-based categorization and domain-specific opinion analysis.

Combine it with our Voice of the Customer analysis

Bring together the detection of financial concepts and the multidimensional analysis of the voice of the customer provided by our VoC Vertical Pack for the banking and insurance industries.

Continuously updated

MeaningCloud continuously evolves its Packs, to improve them and update them in order to meet new market requirements.


Using the Pack costs a fraction of the price of developing your custom dictionaries and models, and plus you can stop using it whenever you want.