Julian Brooke
Biographic Data
| ID | 4005969 |
|---|---|
| NAME | Julian Brooke |
| GIVEN NAMES | Julian |
| FAMILY NAME | Brooke |
| SIGNATURE | BROOKE J |
| AFFILIATIONS | University of Toronto |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 92 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2016 |
| H-INDEX | 2 |
Modeling Modernist Dialogism
In Macroanalysis (2013), Matthew Jockers provocatively declares that large digitized collections of literary texts have rendered close reading “totally inappropriate as a method of studying literary history.” Hammond, Brooke and Hirst respond by demonstrating the productive interpretive interplay that results when close reading is placed in a “feedback loop” with the insights available at the scale of big data. Using cutting-edge techniques in co…
A Weird (Language) Tale
This article presents a synchronic quantitative study of adjectives in the semantic field of strangeness in a large North American city, Toronto, the largest urban center in Canada. The analysis is based on nearly 2,000 adjectives, representing 11 different types, as in She’s really weird and She’s odd. The distribution of these adjectives in apparent time provides startling evidence of change. The adjective strange is quickly moving out of favor…
Lexicon-Based Methods for Sentiment Analysis
We present a lexicon-based approach to extracting sentiment from text. The Semantic Orientation CALculator (SO-CAL) uses dictionaries of words annotated with their semantic orientation (polarity and strength), and incorporates intensification and negation. SO-CAL is applied to the polarity classification task, the process of assigning a positive or negative label to a text that captures the text's opinion towards its main subject matter. We show …
Lexicon-Based Methods for Sentiment Analysis
We present a lexicon-based approach to extracting sentiment from text. The Semantic Orientation CALculator (SO-CAL) uses dictionaries of words annotated with their semantic orientation (polarity and strength), and incorporates intensification and negation. SO-CAL is applied to the polarity classification task, the process of assigning a positive or negative label to a text that captures the text's opinion towards its main subject matter. We show …
A Weird (Language) Tale
This article presents a synchronic quantitative study of adjectives in the semantic field of strangeness in a large North American city, Toronto, the largest urban center in Canada. The analysis is based on nearly 2,000 adjectives, representing 11 different types, as in She’s really weird and She’s odd. The distribution of these adjectives in apparent time provides startling evidence of change. The adjective strange is quickly moving out of favor…
Lexicon-Based Methods for Sentiment Analysis
We present a lexicon-based approach to extracting sentiment from text. The Semantic Orientation CALculator (SO-CAL) uses dictionaries of words annotated with their semantic orientation (polarity and strength), and incorporates intensification and negation. SO-CAL is applied to the polarity classification task, the process of assigning a positive or negative label to a text that captures the text's opinion towards its main subject matter. We show …
A Weird (Language) Tale
This article presents a synchronic quantitative study of adjectives in the semantic field of strangeness in a large North American city, Toronto, the largest urban center in Canada. The analysis is based on nearly 2,000 adjectives, representing 11 different types, as in She’s really weird and She’s odd. The distribution of these adjectives in apparent time provides startling evidence of change. The adjective strange is quickly moving out of favor…
Modeling Modernist Dialogism
In Macroanalysis (2013), Matthew Jockers provocatively declares that large digitized collections of literary texts have rendered close reading “totally inappropriate as a method of studying literary history.” Hammond, Brooke and Hirst respond by demonstrating the productive interpretive interplay that results when close reading is placed in a “feedback loop” with the insights available at the scale of big data. Using cutting-edge techniques in co…
Linguistics (2 works) · Philosophy (2 works) · Adjective (1 works) · Advanced Text Analysis Techniques (1 works) · Archaeology (1 works) · Art (1 works) · Big data (1 works) · Computer Science (1 works) · Context (archaeology (1 works) · Data mining (1 works)