Natural Language Processing

Sifting through the wealth of unstructured data in today’s world might feel like an impossible task. With a torrent of business reports, product descriptions, and countless other text-based data produced daily, humans alone can’t hope to effectively analyze it all. That’s where the power of AI and specifically natural language processing (NLP) comes in. NLP is a rapidly evolving field, with new applications constantly being unearthed. It’s widely used in the world of finance for extracting meaningful insights from massive text datasets and aiding in activities like risk evaluation, portfolio construction, and competitive analysis.

In this certificate program, you’ll gain a comprehensive understanding of NLP algorithms that can decipher and categorize vast amounts of text-based data. You’ll begin with the basics, determining how to prepare and refine data for your very own NLP projects. The initial focus will be on the Latent Dirichlet Allocation (LDA) algorithm, a powerful tool for topic modeling in business scenarios.

As you progress, the courses will delve deeper into the intricacies of text pre-processing techniques such as stopwords, tokenization, and stemming/lemmatization. You’ll gain hands-on experience fine-tuning LDA topic models to align with industry classification standards and further explore the Doc2Vec algorithm as an alternative approach to topic modeling.

Through a variety of practical assignments and activities, you’ll strengthen your skill set in data manipulation, algorithm training, and model performance evaluation. You’ll also have the chance to build investment portfolios based on the alignment of companies by business activity.

In addition to mastering these vital NLP tools, you’ll discover how they can be utilized to draw meaningful industry-based insights from enormous amounts of unstructured data. By the end of the program, you’ll be well equipped to leverage NLP for making informed, data-driven decisions in the ever-evolving financial markets.

There’s an abundance of textual information in the world, and more is being created each day. Working with this vast amount of text is a significant challenge for humans, as it would be impossible for individuals to read millions of web search queries, product descriptions, emails, and articles. The answer is natural language processing (NLP). NLP solutions continue to expand, with more and more applications in machine learning and beyond being discovered every day. Organizations employ NLP for textual analysis and classification as well as more advanced tasks such as writing, coding, and reasoning.

In this certificate program, you’ll cover the fundamentals of NLP, including how to teach a computer where a word starts and ends, as well as more advanced skills like how to program a computer to determine what sentences mean. Throughout the courses, you’ll have the opportunity to implement numerous string and text processing techniques, work with machine learning algorithms to determine how similar documents are to one another, and train machine learning models to optimize the extraction of meaningful data from documents. While gaining valuable practice with Python functions and expressions, you will also master the ability to process text using NLP-specific packages, including Natural Language Tool Kit (NLTK), Gensim, spaCy, regex, and SentenceTransformers, that can be used to extend Python’s power. By the end of the program, you will have the theoretical basis and technical expertise to apply NLP in the workplace, to your innovations, and beyond.