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Applications are programmed on a web based text editor in the very simple Javascript programming language.
Realizing BlotBase, Pubmed was searched manually and by computer based text mining methods to obtain publications containing northern blot results.
Cooccurrence based text mining (TM) applications such as iHOP [1] or EBIMed [2] are a valuable help for extracting related biomedical entities from literature automatically.
The Mouse Genome Informatics has initiated a dictionary based text mining tool to help biocuration [ 39].
The results from the HMM based Text Miner are encouraging to pursue further enhancements to this approach.
In our pipeline, document triage was performed by querying MedlineRanker (44), a machine learning based text categorization system.
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A brief comparison with PolySearch [20], a web based text-mining system, has also been reported [18].
Unit selection based text-to-speech synthesis (TTS) has been the dominant TTS approach of the last decade.
DES uses dictionary based text-mining approach for extracting potentially relevant information from text documents.
DES uses a dictionary based text-mining approach to extract information used for the precompiled reports by mapping the entities from the dictionaries to the submitted PubMed documents.
We implemented, PPInterFinder a web-based text mining tool to extract human PPIs from biomedical literature.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com