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.
What is Keyword/Keyphrase Extraction and Why Use Generative AI?
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:
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.
LLaMA 3, Dolphin, Yi 34B, and Mixtral 8x7B are advanced alternatives to GPT-4, GPT-3.5, and ChatGPT. These models are so complex that they can adapt to many situations, and perfectly sound like a human. For advanced use cases, it is possible to fine-tune your own models (train them with your own data), which is a great way to perform keyword and keyphrase extraction that is perfectly tailored to your company/product/industry.
