Bernard, 2019 - Google Patents
Theory of the HashtagBernard, 2019
- Document ID
- 5078367047111260829
- Author
- Bernard A
- Publication year
External Links
- 230000000694 effects 0 abstract description 8
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30386—Retrieval requests
- G06F17/30424—Query processing
- G06F17/30522—Query processing with adaptation to user needs
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30587—Details of specialised database models
- G06F17/30595—Relational databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30861—Retrieval from the Internet, e.g. browsers
- G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
- G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Bernard | Theory of the Hashtag | |
Karami et al. | Twitter and research: A systematic literature review through text mining | |
Cordell | Machine learning+ libraries | |
Fussey et al. | Digitizing sociology: Continuity and change in the internet era | |
Kumar et al. | Sentiment analysis of multimodal twitter data | |
Greenwood et al. | Toward a methodology for analyzing visual rhetoric in corporate reports | |
Mohr et al. | Toward a computational hermeneutics | |
Herrmann et al. | # fridaysforfuture–What does Instagram tell us about a social movement? | |
Abascal-Mena et al. | Detecting sociosemantic communities by applying social network analysis in tweets | |
Friese | ATLAS. ti 7 Quick tour | |
Nautiyal et al. | Can destination image be ascertained from social media? An examination of Twitter hashtags | |
Cheema et al. | Understanding image-text relations and news values for multimodal news analysis | |
John | Sharing and social media: The decline of a keyword? | |
Holladay et al. | The drip, drip, drip of dystopia: The Handmaid’s Tale, temporal boundaries, and affective investment | |
Han et al. | Photos don't have me, but how do you know me? Analyzing and predicting users on Instagram | |
Goodings | Understanding social network sites: lessons from MySpace | |
Loiko | Philosophy of artificial intelligence | |
Leone et al. | Institutional flows of communication for young people on Instagram and the use of visual images | |
Matwin et al. | Generative Methods for Social Media Analysis | |
Luntovskyy | Interconnecting Advanced Networks with AI Applications. | |
Sergi et al. | Appraisal inference from synthetic facial expressions | |
Esiyok et al. | Twitter sentiment tracking for predicting marketing trends | |
Ogawa et al. | Modelling and structuring narrative historical sources with temporal context | |
Baissa | False news discourse online: Corpus-assisted discourse analyses | |
Singer | Newsrooms go online |