1. Text Classification: Text classification is the process of assigning a predefined label to a text, such as a sentiment (positive, negative, neutral) or a category (sports, politics, etc). For example, a text classification system could be used to categorize customer reviews as either positive or negative.
2. Machine Translation: Machine translation is the process of automatically translating text from one language to another. For example, a machine translation system could be used to translate text from Spanish to English.
3. Text Summarization: Text summarization is the process of automatically generating a summary of a text. For example, a text summarization system could be used to generate a summary of a long article.
4. Natural Language Generation: Natural language generation is the process of automatically generating natural language text from structured data. For example, a natural language generation system could be used to generate reports from a database of customer data.
5. Question Answering: Question answering is the process of automatically answering questions posed in natural language. For example, a question answering system could be used to answer questions about a product or service.