Home Depot was granted a patent for machine-learning sentiment classification.

{
  "signal_id": "ee235306-9871-50a6-91da-dcabb6397f58",
  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-10-21T15:56:23+00:00",
  "company": {
    "name": "Home Depot",
    "domain": "homedepot.com"
  },
  "data": {
    "cpc": [
      {
        "code": "G06F 40/30",
        "label": "Electric digital data processing"
      },
      {
        "code": "G06F 40/247",
        "label": "Electric digital data processing"
      },
      {
        "code": "G06V 30/19093",
        "label": "Image or video recognition or understanding"
      },
      {
        "code": "G06V 30/19107",
        "label": "Image or video recognition or understanding"
      }
    ],
    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Artificial Intelligence",
      "Machine Learning",
      "Retail / Store Systems"
    ],
    "detail": "In October 2026 Home Depot patented technology for analyzing customer feedback across retail channels and organizing opinions by domain-specific topics.",
    "summary": "Home Depot was granted a patent for machine-learning sentiment classification.",
    "event_at": "2026-10-20",
    "inventors": [
      {
        "name": "Haozheng Tian",
        "status": "resolved",
        "is_primary": true,
        "linkedin_url": "https://www.linkedin.com/in/haozhengtian"
      },
      {
        "name": "James Morgan White",
        "status": "unresolved",
        "is_primary": false
      }
    ],
    "tech_area": "software / computing",
    "event_kind": "grant_date",
    "grant_date": "2026-10-20",
    "source_url": "https://patents.google.com/patent/US12769952",
    "cpc_primary": {
      "code": "G06F 40/30",
      "label": "Electric digital data processing"
    },
    "patent_title": "Classification of user sentiment based on machine learning",
    "patent_number": "US12769952",
    "uspto_assignee": "Home Depot Product Authority, LLC",
    "patent_abstract": "A system and method for machine learning classification of user sentiment is disclosed. The method includes storing including a plurality of category information. The plurality of category information includes a set of domain-specific category information. The method further includes extracting a plurality of aspects from textual data. The method further includes generating a sentiment by a machine learning model. The method further includes receiving the plurality of aspects and the set of domain-specific category information. The method further includes generating a sentiment based on the plurality of aspects and the set of domain-specific category information.",
    "precision_class": "structural",
    "invention_explanation": "A system that pulls topics from written feedback and uses machine learning to determine the sentiment connected to each one.",
    "technologies_mentioned": [
      "machine learning",
      "sentiment analysis",
      "natural language processing",
      "text analytics"
    ]
  }
}

curl https://signals.autobound.ai/v1/signals/ee235306-9871-50a6-91da-dcabb6397f58 \
  -H "X-API-KEY: $AUTOBOUND_API_KEY"

curl -X POST https://signals.autobound.ai/v1/companies/enrich \
  -H "X-API-KEY: $AUTOBOUND_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"domain":"homedepot.com","limit":20}'