MLchartDataset catalogue

Sentiment analysis

Term · Oil and gas · MLC-T-OAG-003333

The computational identification and categorization of opinions expressed in a piece of text, especially to determine whether the writer's attitude towards a particular topic or product is positive, negative, or neutral. This process often involves natural language processing and machine learning algorithms. It is applied to analyze customer feedback, social media comments, and news articles.

Table 1. Record
IdentifierMLC-T-OAG-003333
FieldOil and gas
SubjectDigital
Record as JSON
{
  "id": "MLC-T-OAG-003333",
  "term": "Sentiment analysis",
  "field": "Oil and gas",
  "definition": "The computational identification and categorization of opinions expressed in a piece of text, especially to determine whether the writer's attitude towards a particular topic or product is positive, negative, or neutral. This process often involves natural language processing and machine learning algorithms. It is applied to analyze customer feedback, social media comments, and news articles.",
  "subject": "Digital",
  "url": "https://mlchart.com/terminology/oil-and-gas/sentiment-analysis/"
}

Record 3,541 of 4,469 in Oil and gas terminology (MLC-0103). Request the full dataset.