Which of the following is an application of data science?(a) Text summarization(b) Target Advertisements(c) Face lock in smartphones(d) Email filters

All of the options mentioned are applications of data science.

(a) Text summarization: Data science techniques are used to analyze and interpret large amounts of text data. Algorithms can be trained to understand context, sentiment, and key ideas, and then produce a summarized version of the text.

(b) Target Advertisements: Data science is used to analyze customer behavior, preferences, and other factors to target advertisements more effectively. This can increase the likelihood of customer engagement and conversion.

(c) Face lock in smartphones: Data science, specifically machine learning and deep learning, is used in the facial recognition technology that enables face lock features in smartphones.

(d) Email filters: Data science is used to classify and filter emails, such as distinguishing between spam and non-spam emails. This is typically done through natural language processing and other machine learning techniques.

All of the options mentioned - (a) Text summarization, (b) Target Advertisements, (c) Face lock in smartphones, and (d) Email filters - are applications of data science.

(a) Text summarization: Data science algorithms can analyze and interpret large amounts of text data to provide a concise summary. This is used in various fields such as news summarization, customer reviews summarization etc.

(b) Target Advertisements: Data science is used to analyze customer behavior, preferences, and other factors to target advertisements more effectively. This helps businesses reach out to the right audience and increase their conversion rates.

(c) Face lock in smartphones: Data science, particularly the field of machine learning and deep learning, is used in the face recognition technology that enables face lock feature in smartphones.

(d) Email filters: Data science is used in designing algorithms that can classify and filter emails, such as separating spam emails from important ones.

So, all of the above are applications of data science.