Active Learning for Text Classification
aaai.orgActive Learning for Text Classification builds a text classification model starting from a relatively small labeled dataset. It then selects the most relevant examples from a large pool of unlabeled text for annotation, with the goal of substantially improving model accuracy.
By applying active learning techniques, the algorithm prioritizes which data instances should be tagged first. This process reduces the annotation workload and accelerates the development of a machine learning model that reaches a usable performance level with less time and effort.
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
DataForSeo API
Get LLP 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 Active Learning for Text Classification mention score POST /v3/content_analysis/summary { "keyword": "Active Learning for Text Classification", "type": "llm_mentions", "date_from": "2025-01-01" }
