How to extract keywords from Yotpo Online Reviews using generative AI
How to Extract Keywords from Yotpo Online Reviews using Generative AI
Online reviews can provide valuable insights about your products or services. However, manually reading through each review to identify trends and themes can be a time-consuming and inefficient process. In this post, we’ll show you how to use generative AI to automatically extract keywords from Yotpo online reviews.
What is Keyword Extraction?
Keyword extraction is a natural language processing (NLP) technique that involves identifying the most important or relevant words or phrases in a piece of text. This technique can be used to extract key information and themes from text and has many applications, such as search engine optimization (SEO), content analysis, and topic modeling.
Keyword extraction can be performed manually, but it can also be automated using machine learning algorithms. These algorithms learn to recognize patterns and features in the text that are associated with important words or phrases, and can be trained on a labeled dataset of text.
You can use keyword extraction to analyze and summarize large amounts of text data to quickly identify the most important information and themes.
Example Use Cases
Use cases for extracting keywords from Yotpo online reviews include:
- Identifying common themes and sentiments in customer feedback
- Improving product offerings and features based on customer feedback
- Identifying areas for improvement in customer service and support
- Monitoring trends and changes in customer opinions and perceptions
- Creating targeted marketing campaigns based on customer feedback
Teams that might find these use cases helpful include: customer support, product, marketing, and operations.
Finding your input data and identifying preliminary keywords
You first need to identify the data that you want to work with. In this case, we are looking at Yotpo online reviews. You can extract this data using the Yotpo API or by exporting it in CSV format from your Yotpo dashboard.
Next, it can be helpful (but not necessary) to identify common keywords that you may want to extract from your reviews. Generative AI tools can be used to both identify and measure frequency of keywords but also to suggest additional keywords you may not have been aware to look for. For example - you might find that recurring themes in customer feedback around shipping and delivery times may provide insights into the logistics and fulfillment processes of your business.
Once you have your data and preliminary keywords identified, you can use generative AI to automatically extract keywords from your Yotpo online reviews. This will help you quickly identify common themes and sentiments in customer feedback and improve your products and services accordingly.
For more information on Yotpo API see here: https://apidocs.yotpo.com/reference
Extracting keywords from Yotpo online reviews using generative AI can provide valuable insights for improving your products and services. By automating the process of keyword extraction, you can quickly identify common themes and sentiments in customer feedback and take action to improve your business.