"text document" is correct and usable in written English.
For example, you might write: "I've saved our notes from the meeting as a text document on my computer."
Much progress has been achieved in text document generation.
Also includes a text document with sources and additional details.
After this operation, it preprocesses text document to perform pronominal reference resolution and text clustering.
However, their design strategy is only suitable for single-byte character-based text document.
Data were analyzed by means of open coding and text document analysis.
Selection of most desired features in the text document plays a vital role in classification problem.
In particular, similar to the bag-of-words model used in text document domain, the proposed method treats a time series as a text document and extracts local segments from the time series as words.
A word level representation model for semantic information preserving of the text document and score level fusion approach.
Text document classification is a well known theme in the field of the information retrieval and text mining.
This allows us to leverage existing text document retrieval techniques and achieve efficiency and scalability similar to text search applications.
Experiments were performed on text document categorization and ranking tasks.
