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Futurism uses research to create personalized, data-driven forecasts to help our clients address their uncertainties, understand how they can be more innovative and differentiated from their competitors, and prepare now for what is to come next.
Gina Lee is the Program Coordinator of the Association for Neighborhood and Housing Development which is a member organization of community groups across New York CIty using research, advocacy, and grassroots organizing to build equity and justice in their neighborhoods and city-wide. In 2022, the ANHD published a report titled The State of Storefronts: Alarming Vacancy Rates and Rising Rents during the Pandemic which used the latest annual release of storefront registry data to assess the state of storefronts as of 2020.
NLP is becoming popular as Large Language Models (LLMs) are growing and used widely in the market. Having foundational knowledge of NLP concepts and techniques can help you become an NLP data scientist, NLP engineer, or distinguished ML engineer to stand out in the job market.
Text vectorization is the process of converting text data into numerical vectors, which can be used as input for machine learning models. One of the most common techniques for text vectorization is bag-of-words, which represents text as a bag (or multiset) of its words, disregarding grammar and word order but keeping track of the number of occurrences of each word.
In this example, we use 20newsgroups data, which contains nearly 19,000 newsgroup documents, partitioned nearly evenly across 20 different newsgroups. The pipeline vectorizes the text using TfidfVectorizer, then trains a Naive Bayes classifier using the vectorized data and returns the predicted label.
Text-based data is everywhere and businesses of all sizes generate tons of it. To analyze, interpret and gain meaningful full insights out of raw text data, beginner data scientists must learn NLP techniques to succeed in their careers.
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