A retailer wants to build a model that detects positive or negative sentiment from sentences written by customers in online product reviews. According to common AI data categories, how should this source information be classified?
Tabular data
Time-series data
Image data
Text data
Sentences written by customers are composed of words and characters, making the information unstructured textual content. Therefore, it is classified as text data. Image data contains pixels, tabular data is organized in rows and columns (for example, spreadsheets), and time-series data is sequential numerical or categorical measurements indexed by time-all of which are inappropriate descriptions for free-form written reviews.
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