Compromise.js

Step 1: Receive user message as text input.

Step 2: Use Compromise.js to tokenize the message.

Step 3: Extract key phrases and entities related to the user's intent.

Step 4: Match extracted information with pre-defined intent categories to trigger the appropriate response.

Step 1: Load the document into a text string.

Step 2: Use Compromise.js to identify the most important sentences or phrases.

Step 3: Extract the sentences with the highest relevance scores.

Step 4: Combine the extracted sentences to create a short summary.

Step 1: Collect social media posts using an API or web scraping.

Step 2: Use Compromise.js to identify brand mentions and relevant keywords.

Step 3: Analyze the sentiment of each post towards the brand.

Step 4: Track the overall sentiment trend over time to monitor brand reputation.

Step 1: Receive form data as text input.

Step 2: Use Compromise.js to validate the format and content of each field.

Step 3: Check for required fields and valid data types.

Step 4: Provide feedback to the user if any errors are found.

Step 1: Receive user search query as text input.

Step 2: Use Compromise.js to identify the main entities and intents in the query.

Step 3: Expand the query with synonyms and related terms.

Step 4: Use the expanded query to retrieve more relevant search results.