We innovate by transforming textual communications into actionable insights

Our mission

We develop tools that aggregate textual data into innovative yet practical and understandable index solutions, tracking the authors’ sentiments about the topic of interest. We seek to continuously improve the understanding of the multi-dimensional textual information out there. Our ambitious goal is to grasp the stream of emotional content and its implications for society even faster than the impressive speed at which it is generated.

Technology

Team

We are an international group of researchers with a passion for solving challenging problems at the intersection of textual analysis, sentiment mining, and econometrics. We deliver the same high quality for the sentometrics-branded services as for the white-labeled advisory and development. We prioritize excellence and progress, but always cut loose with that regular dose of fun.

ANDRES
ANDRES
Andres is big on data and people. Funny, trustworthy, multi-talented, and sustainable, he is the glue of the team. His creativity connects the dots in the Sentometrics projects.
DAVE
DAVE
Dave spills over his abundance of energy to the entire team, day and night. He manages the team with a Swiss precision and turns theory into practice. No task remains unchecked if he is in charge and no time series process can hide any secrets when he unleashes the Bayes on it.
JEROEN
JEROEN
Jeroen is the brave of the squad, diving with full commitment into Sentometrics. He embodies the perfect mixture of mixtures between being a strategist and an implementer, a coder and a statistician, an independent worker and a team player. Unpredictable in his predictability, his vibe always falls on the bright side.
JULIETTE
JULIETTE
Juliette is the student-employee of the month – every month. She is bilingual French-Dutch and enjoys annotation like any other role-playing game. Occasionally she corrects the mistakes of her professors, as this is what good students and professors do.
KEVEN
KEVEN
Keven chews gum as no other, but not only that. The nights are made for coding things so you can code something else during tomorrow’s daylight, is his motto. Balancing fun, debugging, and hard work, the team can always count on their Canadian friend.
KRIS
KRIS
Kris has three kids, but only one true baby: Sentometrics. He is the alchemist behind its conception and growth. He enjoys travelling and adding an international flavor to the team’s projects.
LAURA
LAURA
Laura’s specialty is linguistics. Laura’s stone lets you easily combine diverse languages into one single sentiment indicator. She deciphers sentiment in all dimensions: sound, text and face expressions. No emotion gets unnoticed when Laura is on the outlook.
MUZAFER
MUZAFER
Muzafer is the polyglot of the team. He uses Python and R to build neural networks in French, Dutch, English, and Albanian. He analyses your questions and knows the answer before you even ask them.
SAM
SAM
Sam is a talented football player who finds the Sentometrics project more exciting than the Champions League. He is the middle field in the Sentometrics team, safeguarding the quality and ensuring the innovation. Behind this solid Belgian pillar, hundreds of ideas are popping non-stop day-long.
YOU!
YOU!
Our mission to build the next generation of tools to transform text into actionable insights requires motivated team players with skills in linguistics, data science and engineering. If interested, send us an email.

Publications

Text-based forecasting: Improvement when the design of the textual aggregation method is optimized: Intratext, across-text and across-time weighting

  • Boudt, K., & Thewissen, J. (2019). Jockeying for position in CEO letters: Impression management and sentiment analytics. Financial Management, 48, 77-115.
    https://doi.org/10.1111/fima.12219
  • Ardia, D., Bluteau, K., & Boudt, K. (20xx). Questioning the news about economic growth: Sparse forecasting using thousands of news-based sentiment values. International Journal of Forecasting, forthcoming.
    https://doi.org/10.2139/ssrn.2976084

Impact analysis: Modeling of heterogeneity in the impact of textual sentiment based measures on financial performance

  • Arslan-Ayaydin, Ö., Boudt, K., & Thewissen, J. (2016). Managers set the tone: Equity incentives and the tone of earnings press releases. Journal of Banking & Finance, 72, S132-S147.
    https://doi.org/10.1016/j.jbankfin.2015.10.007
  • Ardia, D., Bluteau, K., & Boudt, K. (2018). Media and the stock market. A CAT and CAR analysis.
    https://doi.org/10.2139/ssrn.3192064
  • Algaba, A., Borms, S., & Boudt, K. (20xx). Timeliness of ESG reputation from texts. In progress.

Network analysis: Modeling dependence across textual sentiment

  • Ardia, D. Borms, S., & Boudt, K. (2018) Sentiment comovement and article features. In progress.

Software development: R package sentometrics

info@sentometrics.org