Sentiment polarity for users of a social networking system
- Applicant
- Auteurs
- N/A
- Titre
- Sentiment polarity for users of a social networking system
- Patent Number
- US2020286000
- Publication Date
- 2020
- uri
- https://patents.google.com/patent/US20200286000
- Description
- A social networking system infers a sentiment polarity of a user toward content of a page. The sentiment polarity of the user is inferred based on received information about an interaction between the user and the page (e.g., like, report, etc.), and may be based on analysis of a topic extracted from text on the page. The system infers a positive or negative sentiment polarity of the user toward the content of the page, and that sentiment polarity then may be associated with any second or subsequent interaction from the user related to the page content. The system may identify a set of trusted users with strong sentiment polarities toward the content of a page or topic, and may use the trusted user data as training data for a machine learning model, which can be used to more accurately infer sentiment polarity of users as new data is received.
- keywords
- Sentiment Analysis
- Domaine de recherche
- Human-Computer Interaction & User Experience
- Sentiment Analysis
- Social Media and User Engagement
- Données collectées (type source)
- Text
- Media Content
- Concepts clés
- Sentiment
- Méthode
- Machine learning model based on user data including interaction between the user and the page
- Dispositif
- Device
- Objectifs du brevet
- Determine/Identify User Emotion
Fait partie de Sentiment polarity for users of a social networking system