In natural language processing (NLP), sliding window techniques can be employed to analyze text data and extract meaningful information, such as sentiment or topic classification. By moving a fixed-size window across a text, the algorithm can analyze the words or phrases within the window and make decisions based on the extracted information. This can help identify patterns, trends, or anomalies in the text data.