Contextual phrase-level polarity analysis using lexical affect scoring and syntactic N-grams

Authors:
Apoorv Agarwal;Fadi Biadsy;Kathleen R. Mckeown
Affiliations:
Columbia University, New York;Columbia University, New York;Columbia University, New York
Venue:
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Year:
2009

Citing 12
Cited 15

Sentiment analysis: capturing favorability using natural language processing

Proceedings of the 2nd international conference on Knowledge capture
Sentiment Analyzer: Extracting Sentiments about a Given Topic using Natural Language Processing Techniques

ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Predicting the semantic orientation of adjectives

ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Generating connectives

COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 3
Mining and summarizing customer reviews

Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews

ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Enriching the knowledge sources used in a maximum entropy part-of-speech tagger

EMNLP '00 Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 13
Learning extraction patterns for subjective expressions

EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Towards answering opinion questions: separating facts from opinions and identifying the polarity of opinion sentences

EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts

ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Determining the sentiment of opinions

COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Recognizing contextual polarity in phrase-level sentiment analysis

HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing

Improving blog polarity classification via topic analysis and adaptive methods

HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Identifying emotions, intentions, and attitudes in text using a game with a purpose

CAAGET '10 Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text
Cross-Domain Contextualization of Sentiment Lexicons

Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Towards well-grounded phrase-level polarity analysis

CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
Social network extraction from texts: a thesis proposal

HLT-SS '11 Proceedings of the ACL 2011 Student Session
Improving the impact of subjectivity word sense disambiguation on contextual opinion analysis

CoNLL '11 Proceedings of the Fifteenth Conference on Computational Natural Language Learning
Sentiment analysis of Twitter data

LSM '11 Proceedings of the Workshop on Languages in Social Media
Using games with a purpose and bootstrapping to create domain-specific sentiment lexicons

Proceedings of the 20th ACM international conference on Information and knowledge management
Detecting levels of interest from spoken dialog with multistream prediction feedback and similarity based hierarchical fusion learning

SIGDIAL '11 Proceedings of the SIGDIAL 2011 Conference
Automatic detection of speaker state: Lexical, prosodic, and phonetic approaches to level-of-interest and intoxication classification

Computer Speech and Language
Syntactic dependency-based n-grams: more evidence of usefulness in classification

CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
Syntactic dependency-based n-grams as classification features

MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Computational Intelligence - Volume Part II
Sentiment profiles of multiword expressions in test-taker essays: The case of noun-noun compounds

ACM Transactions on Speech and Language Processing (TSLP) - Special issue on multiword expressions: From theory to practice and use, part 2
Syntactic N-grams as machine learning features for natural language processing

Expert Systems with Applications: An International Journal
Linked taxonomies to capture users' subjective assessments of items to facilitate accurate collaborative filtering

Artificial Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present a classifier to predict contextual polarity of subjective phrases in a sentence. Our approach features lexical scoring derived from the Dictionary of Affect in Language (DAL) and extended through WordNet, allowing us to automatically score the vast majority of words in our input avoiding the need for manual labeling. We augment lexical scoring with n-gram analysis to capture the effect of context. We combine DAL scores with syntactic constituents and then extract n-grams of constituents from all sentences. We also use the polarity of all syntactic constituents within the sentence as features. Our results show significant improvement over a majority class baseline as well as a more difficult baseline consisting of lexical n-grams.