Types of Text Data and Its Characteristics
Learn about text data, the different text formats, and their characteristics.
We'll cover the following...
Now that we’ve looked at the definition of text preprocessing, some of its tasks and applications, and why it’s important, we’ll look at what it will be done on, i.e., text data.
Text data
Text data is any data we can represent in the form of written or typed text. This data can provide valuable information about customer opinions, trends, sentiments, and behavior, which ultimately help organizations make better decisions, improve customer experience, and detect anomalies or threats.
However, we can’t just jump into working with text data like that because text data is usually in a raw format unsuitable for text analysis and machine learning. Raw data usually contains errors and inconsistencies, such as misspelled words and abbreviations, stopwords, foreign words (in the case of multilingual text data), etc. Processing text data in this state can also lead to errors (where text preprocessing algorithms can’t execute their processes) or incorrect ...