What is Keyword/Keyphrase Extraction and Why Use GPT-J?
Keyword extraction is about extracting one or several important words from a piece of text. These words must be core ideas from the text.
For example, imagine you have the following content:
Information Retrieval (IR) is the process of obtaining resources relevant to the information need. For instance, a search query on a web search engine can be an information need. The search engine can return web pages that represent relevant resources.
The important keywords in this example could be information, resources, search.
If keywords are too simple, you might want to extract keyphrases: a combination of several words. For example, in the above content, important keyphrases could be information retrieval, relevant resources, search query, search engine.
Performing keyword and keyphrase extraction is harder than it sounds. It takes an advanced AI model to understand the core ideas from a piece of text.
GPT-J is the most advanced open-source NLP model as of this writing, and this is the best GPT-3
alternative. This model is so big that it can adapt to many situations, and sounds like it thinks like a
human. For advanced use cases, it is possible to fine-tune GPT-J (train it with your own data), which is
a great way to perform keyword extraction that is perfectly tailored to your use case or industry.