Domain Adapted Word Embeddings for Improved Sentiment Classification

2018-05-11 · ACL 2018 7 · Prathusha K Sarma, YIngyu Liang, William A. Sethares

Generic word embeddings are trained on large-scale generic corpora; Domain Specific (DS) word embeddings are trained only on data from a domain of interest. This paper proposes a method to combine the breadth of generic embeddings with the specificity of domain specific embeddings. The resulting embeddings, called Domain Adapted (DA) word embeddings, are formed by aligning corresponding word vectors using Canonical Correlation Analysis (CCA) or the related nonlinear Kernel CCA. Evaluation results on sentiment classification tasks show that the DA embeddings substantially outperform both generic and DS embeddings when used as input features to standard or state-of-the-art sentence encoding algorithms for classification.

📄 PDF Abstract BibTeX arXiv:1805.04576

Code (1)

GallupGovt/multivac pytorch

Tasks

Classification General ClassificationSentenceSentiment AnalysisSentiment ClassificationSpecificityWord Embeddings

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2018-06-01 · NAACL 2018 6 · Prathusha Kameswara Sarma

This research proposal describes two algorithms that are aimed at learning word embeddings for data sparse and sentiment rich data sets. The goal is to use word embeddings adapted for domain specific data sets in downstr…

General Classification Learning Word Embeddings Sentiment Analysis Sentiment Classification+2

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Sentiment Analysis Word Embeddings

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2018-05-01 · JEPTALNRECITAL 2018 5 · Amal Htait

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General Classification Task 2 Word Embeddings

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2018-05-10 · ACL 2018 7 · Bei Shi, Zihao Fu, Lidong Bing, Wai Lam

Word embeddings have been widely used in sentiment classification because of their efficacy for semantic representations of words. Given reviews from different domains, some existing methods for word embeddings exploit s…

Data Augmentation General Classification Sentence Sentiment Analysis+2

A Comparison of Domain-based Word Polarity Estimation using different Word Embeddings

2016-05-01 · LREC 2016 5 · Aitor Garc{\'\i}a Pablos, Montse Cuadros, German Rigau

A key point in Sentiment Analysis is to determine the polarity of the sentiment implied by a certain word or expression. In basic Sentiment Analysis systems this sentiment polarity of the words is accounted and weighted …