From the course: Python for AI Projects: From Data Exploration to Impact

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Data exploration

Data exploration - Python Tutorial

From the course: Python for AI Projects: From Data Exploration to Impact

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Data exploration

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- [Instructor] Explore California wants to enhance their website with an intelligent, NLP-powered search feature to help users find relevant tourist information and tour products more naturally. To get started, we'll dive into their text data, including tourist site descriptions and customer reviews, and begin exploring patterns in our language inputs. We'll start by analyzing basic textual statistics. These insights might include word and character counts for our webpage data, vocabulary, richness, and diversity of terms in our reviews, as well as the overall length of reviews and certain key phrases that appear frequently. Then we'll move into standard NLP pre-processing steps. These might include tokenization, which is splitting, text into individual words or tokens, stop-word removal, filtering out common words like, the, and, and, is, and other transformations, like term frequency and document frequency. These measure…

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