Topic Modeling

Discover topics running through large collections of unstructured texts in a completely automated, data-driven manner.

Sentiment Analysis

Quantify the positive and negative emotions expressed in texts. Observe the temporal dynamics of the emotions.

Natural Language

Clean noisy texts through stopword removal, n-gram analysis, parts-of-speech tagging, stemming, and lemmatization.


Visualize topics and sentiments in intuitive ways. Observe the emergence of new topics and apply drill down and filter options.

API and Widgets

Manage your analysis via APIs and embed the results in the frontend tool of your choice with our selection of widgets.

Automatically extract and visualize topics and sentiments
from millions of text documents

Scientific Papers

Accelerate your literature review and
automatically analyze the content of papers
Live Demo: Information Systems Conferences


Track the development of topics in the news
Live Demo: Guardian World News (3 Months)

Corporate Reports

Analyze offical reports published by large organizations, e.g., financial reports, corporate responsibility reports, or corporate governance reports


Social Web

Listen to conversations on online social networks,
forums, blogs and other social media channels


Mine the content and sentiment of
product descriptions and customer reviews
Live Demo: Amazon Product Reviews

Any other type of documents

Analyze any text stored in
Excel, JSON or TXT files

Our Team

Building on cutting-edge research results

Dr. Stefan Debortoli

Dr. Stefan Debortoli

CEO & Co-Founder,
Research & Development,
Product Management

Professor Oliver Müller

Professor Oliver Müller

Research & Development,
Product Management

Professor Jan vom Brocke

Professor Jan vom Brocke

Business Development

Michael Gau

Michael Gau

Frontend Development,
Server Administration

Professor Iris Junglas

Professor Iris Junglas


Contact Us

If you are interested in using MineMyText for commercial purposes, please contact us.

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9491 Ruggell

Registration number FL-0002.516.714-8 with Commercial Register of Liechtenstein

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