What is text classification?
Do you have a set of texts that you want to extract data from, and you think they may be related to a particular outcome? When you read a text (perhaps a brief or a report of some kind) can you extract important information that guides your decision-making? If you want to streamline your workflow, you may consider using text classification to automate this process.
Text classification is essentially training the computer to automatically recognize important aspects of language that correspond to patterns humans observe in communication. In some cases this is relatively straightforward, while in others it is not. A relatively well-known application is in Sentiment Analysis, but there are a host of other possible aspects of text that can be analyzed. One example of a tool that we are actively developing for automating implicit motive coding can be seen at www.implicitmotives.com