About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

LSEG Launches MarketPsych Transcript Analytics for Corporate Transcripts

Subscribe to our newsletter

LSEG Data & Analytics has introduced MarketPsych Transcript Analytics, a structured data feed designed to help institutional and quantitative investors extract actionable intelligence from corporate transcripts. Developed in collaboration with MarketPsych, the tool uses Natural Language Processing (NLP) to analyse earnings calls, investor presentations, and other corporate communications from over 16,000 global public companies.

The feed employs a proprietary NLP model built on a RoBERTa architecture to assign sentiment and emotion scores at the sentence level, while tracking more than 1,000 topics and 4,000 event types across business, finance, and legal contexts. It also identifies over 20 entity types, including companies, currencies, commodities and countries, and quantifies sentiment related to ESG themes and emotional tone across 13 dimensions, such as fear, optimism, and annoyance

Available in Standard and Premium tiers, the solution offers both aggregated and raw sentence-level data via API in JSON or CSV formats. A web interface allows users to search and filter by topic, entity, and time range. Coverage extends back to 2001, enabling long-term backtesting of sentiment signals.

According to LSEG, internal analysis shows that companies with the highest positive sentiment in earnings calls consistently outperformed peers over the past two decades. The transcript analytics are intended to support use cases such as alpha generation, fundamental research, and risk management.

Eric Fischkin, Director at LSEG Data & Analytics, commented, “LSEG MarketPsych Transcript Analytics gives clients a fast, systematic way to integrate the voices of corporate leaders, institutional investors, and research analysts into their strategies. By applying the latest advances in Natural Language Processing and MarketPsych’s decades of experience transforming financial text into systematic inputs, the solution empowers users across investment management, ESG analysis, and risk management to uncover hidden signals and behavioral patterns at scale.”

The launch expands LSEG’s suite of quantitative data products and builds on its ongoing partnership with MarketPsych, which also includes ESG sentiment and predictive analytics solutions.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Unlocking value: Harnessing modern data platforms for data integration, advanced investment analytics, visualisation and reporting

Modern data platforms are bringing efficiencies, scalability and powerful new capabilities to institutions and their data pipelines. They are enabling the use of new automation and analytical technologies that are also helping firms to derive more value from their data and reduce costs. Use cases of specific importance to the finance sector, such as data...

BLOG

From Broker Bias to Independent Insight: The Case for Cloud-Native TCA

For years, the path of least resistance for buy-side transaction cost analysis (TCA) was simple: let the broker do it. Historically, asset managers have relied on their execution counterparties to provide post-trade reporting. It was a workflow of convenience. Brokers executed the trades and subsequently provided the analysis on how well they performed. However, this...

EVENT

TEST Event page 2

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

Enterprise Data Management, 2010 Edition

The global regulatory community has become increasingly aware of the data management challenge within financial institutions, as it struggles with its own challenge of better tracking systemic risk across financial markets. The US regulator in particular is seemingly keen to kick off a standardisation process and also wants the regulatory community to begin collecting additional...