Technical Entity Recognizer
ner.systemsTechnical Entity Recognizer (TER) is a cognitive computing tool designed specifically to handle technical and engineering terminology. As a Named Entity Recognition (NER) solution, it focuses on identifying technical entities within documents or larger text corpora.
After the relevant technical entities have been detected, the extracted information can be organized and used to represent and manage an organization’s technical know-how. These structured entities can then support subsequent processes such as advanced analytics, information retrieval, clustering, and classification.
LLM mention score The LLM mention score is the total number of mentions of this brand in different LLM chatbots, normalized to the scale from 0 to 100. You can get actual, non-normalized numbers via the LLM Mention API from DataForSEO.
Normalized 0–100 · last 8 weeks
Get LLM mention data of any company via DataForSEO API
Get access to the structured data on keyword, brand, and website mentions in LLMs, including metrics like AI search volume, impressions, and mentions count.
How to get LLM mention data →// Fetch Technical Entity Recognizer mention score POST /v3/content_analysis/summary { "keyword": "Technical Entity Recognizer", "type": "llm_mentions", "date_from": "2025-01-01" }
