Types of analytics handled by Relevance AI

Relevance AI offers a variety of very useful analyses that are all accessible under Workflows on the dashboard. Our workflows are prepared in a no-code format, meaning you do not need any programming skills to be able to use them. Optionally, and if you are into Python programming, you can use our Python SDK.

In this page, we are reviewing the most used analysis available on Relevance AI's dashboard.

1. Vectorize Workflow

Vectorize your data with a ready-to-use neural network, and benefit from the magic of AI and machine learning.

Benefits

Requirements

  1. More precise data analysis
  2. Fast processing of large amounts of data
  3. Easy access to a variety of state-of-the-art vectorizing models
  1. Upload your dataset to Relevance AI's platform
  2. Choose the model and the fields you want to encode
  3. Run Vectorize workflow

2. Cluster Workflow

Group/cluster your data based on the content similarity, and discover hidden patterns using AI and machine learning.

Benefits

Requirements

  1. Identify hidden patterns in your data using AI algorithms
  2. Understand your data better
  3. Fast and more informed decision making
  1. Upload your dataset to Relevance AI's platform
  2. Vectorize the field in your data to be analyzed
  3. Run Clustering workflow

3. Subcluster workflow

Break existing clusters/categories into smaller ones for a higher level of granularity

Benefits

Requirements

  1. More fine-grained analysis of the data
  2. Extract all the hidden information about your data
  1. Upload your dataset to Relevance AI's platform
  2. Vectorize the field in your data to be analyzed
  3. Run clustering workflow
  4. Run Subcluster workflow

4. Label Workflow

Label your clusters to better summarize your data categories using AI and machine learning.

Benefits

Requirements

  1. Summarize each cluster with a label
  2. Use AI to automatically assign labels to clusters
  3. Understand the content of your entire dataset via the labels
  1. Upload your dataset to Relevance AI's platform
  2. Vectorize the field in your data to be analyzed
  3. Cluster your data
  4. Run Label workflow

5. Reduce dimensions

Reduce the size of vectors associated with data entries.

Benefits

Requirements

  1. Reduce the amount of time and memory needed to work with vector analysis
  2. Possibility to explore data in a 3D space
  1. Upload your dataset to Relevance AI's platform
  2. Vectorize the field in your data to be used for analysis or visualization
  3. Run dimensionality reduction workflow on the vectors

6. Sentiment Workflow

Perform sentiment analysis on your textual data using state-of-the-art AI and machine learning to discover text polarity (i.e. positive, negative, neutral).

Benefits

Requirements

  1. Understand your customer better
  2. Identify areas of strong/weak points
  1. Upload your dataset to Relevance AI's platform
  2. Run Sentiment workflow

7. Extract Emotions

Perform emotion analysis on your textual data using state-of-the-art AI and machine learning to discover different underlying emotions in your data (i.e. anger, satisfaction, happiness, disapproval, etc.)

Benefits

Requirements

  1. Understand your customer better
  2. Identify areas of strong/weak points
  3. More fine-grained analysis compared to sentiment identification
  1. Upload your dataset to Relevance AI's platform
  2. Run Emotion workflow

8. Extract Nouns

Use machine learning to extract nouns from text and build a taxonomy with the results.

Benefits

Requirements

  1. Build a taxonomy from extracted nouns
  2. Use the taxonomy to better understand your data
  3. Data summarisation using the taxonomy
  1. Upload your dataset to Relevance AI's platform
  2. Run the Extract nouns workflow

9. Connect to Playstore or Appstore

Mine app reviews using our scraping software and further analyze them with machine learning

Benefits

Requirement

  1. Easy access to recent and valuable data
    2.Scrape customer feedback from any content in both Playstore and Appstore
  1. Upload your dataset to Relevance AI's platform
  2. Run the connect to playstore/appstore workflow

Did this page help you?