About linguistic techniques

When you build or extend you categories, you can select from a number of advanced linguistic category building techniques including concept inclusion and semantic networks (English only). These techniques can be used individually or in combination with each other to create categories.

You do not need to be an expert in these settings to use them. By default, the most common and average settings are already selected. If you want, you can bypass this advanced setting dialog and go straight to building or extending your categories. Likewise, if you make changes here, you do not have to come back to the settings dialog each time since it will remember what you last used.

However, keep in mind that because every dataset is unique, the number of methods and the order in which you apply them may change over time. Since your text mining goals may be different from one set of data to the next, you may need to experiment with the different techniques to see which one produces the best results for the given text data. None of the automatic techniques will perfectly categorize your data; therefore we recommend finding and applying one or more automatic techniques that work well with your data.

The main automated linguistic techniques for category building are:

• Concept inclusion. This technique creates categories by taking a concept and finding other concepts that include it. See the topic Concept Inclusion for more information.
• Semantic network. This technique begins by identifying the possible senses of each concept from its extensive index of word relationships and then creates categories by grouping related concepts. See the topic Semantic Networks for more information. This option is only available for English text.