Abstract
Subjectivity is a pragmatic, sentence-level feature that has important implications for text processing applications such as information extraction and information retrieval. We study the effects of dynamic adjectives, semantically oriented adjectives, and gradable adjectives on a simple subjectivity classifier, and establish that they are strong predictors of subjectivity. A novel trainable method that statistically combines two indicators of gradability is presented and evaluated, complementing existing automatic techniques for assigning orientation labels.
Keywords
SubjectivityAdjectiveNatural language processingComputer scienceArtificial intelligenceSentenceClassifier (UML)Feature extractionLinguisticsInformation retrievalNounPhilosophyEpistemology
Affiliated Institutions
Related Publications
Learning Subjective Adjectives from Corpora
Subjectivity tagging is distinguishing sentences used to present opinions and evaluations from sentences used to objectively present factual information. There are numerous appl...
Unsupervised Learning of Semantic Orientation from a Hundred-Billion-Word Corpus
The evaluative character of a word is called its semantic orientation. A positive semantic orientation implies desirability (e.g., "honest", "intrepid") and a negative semantic ...
Identifying Collocations for Recognizing Opinions
Subjectivity in natural language refers to aspects of language used to express opinions and evaluations (Banfield, 1982
Sentiment analyzer: extracting sentiments about a given topic using natural language processing techniques
We present sentiment analyzer (SA) that extracts sentiment (or opinion) about a subject from online text documents. Instead of classifying the sentiment of an entire document ab...
Analysis of polarity information in medical text.
Knowing the polarity of clinical outcomes is important in answering questions posed by clinicians in patient treatment. We treat analysis of this information as a classification...
Publication Info
- Year
- 2000
- Type
- article
- Volume
- 1
- Pages
- 299-305
- Citations
- 671
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
671
OpenAlex
42
Influential
277
CrossRef
Cite This
Vasileios Hatzivassiloglou,
Janyce Wiebe
(2000).
Effects of adjective orientation and gradability on sentence subjectivity.
Proceedings of the 18th conference on Computational linguistics -
, 1
, 299-305.
https://doi.org/10.3115/990820.990864
Identifiers
- DOI
- 10.3115/990820.990864