How to extract keywords from BirdEye Online Reviews using generative AI
How to Extract Keywords from BirdEye Online Reviews using Generative AI
As a business owner or marketer, you know how important it is to keep an eye on your online reviews. However, with so many reviews to go through, it can be challenging to identify the most important insights. In this post, we’ll show you how to use generative AI to automatically extract keywords from BirdEye online reviews, making it easier to identify trends, customer sentiment, and areas for improvement.
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. You can use it to extract key information and themes from text for 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 BirdEye online reviews include:
- Identifying customer sentiment and satisfaction levels
- Identifying common pain points and areas for improvement
- Monitoring brand reputation and identifying potential crises
- Identifying strengths and weaknesses in customer service and support
- Improving the effectiveness of marketing campaigns
Teams that might find these use cases helpful include: customer support, customer success, 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. Here, we are looking at BirdEye online reviews. You can extract this data using the BirdEye API, export it in CSV format, or query a list of reviews from your data warehouse or BI tool.
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 mentions of long wait times may indicate that your business needs to improve its scheduling system.
Once you have your data and preliminary keywords identified, you can use generative AI to automatically extract keywords from your BirdEye online reviews. This will help you identify the most important insights quickly and efficiently, allowing you to make data-driven decisions for your business.
- Access your BirdEye account and navigate to the reviews section.
- Select the reviews you want to analyze and export them in CSV format.
- Import the CSV file into a keyword extraction tool that supports generative AI.
- Train the tool to identify the keywords you are interested in by providing it with a labeled dataset of text. You can also use pre-trained models if they are available.
- Run the tool to extract the keywords from your BirdEye online reviews. The tool will automatically identify the most important keywords and provide you with a summary of the insights.
By following these steps, you can quickly and efficiently extract the most important keywords from your BirdEye online reviews. This will help you stay on top of customer sentiment and identify areas for improvement, allowing you to make data-driven decisions for your business.