CambriaErik

发表

Polarity shift detection, elimination and ensemble

XuFeng, XiaRui, YuJianfei, 2016 .

A Generative Model for category text generation

YangTao, LiYang, WangSuhang, 2018 .

Natural language based financial forecasting

CambriaErik, Z XingFrank, E WelschRoy, 2018 .

Learning word dependencies in text by means of a deep recurrent belief network

W TsangIvor, OngYew-Soon, CambriaErik, 2016 .

Affective Computing and Sentiment Analysis

CambriaErik, 2016 .

New avenues in knowledge bases for natural language processing

SchullerBjorn, CambriaErik, XiaYunqing, 2016 .

Knowledge-Based Approaches to Concept-Level Sentiment Analysis

SchullerBjorn, WangHaixun, CambriaErik, 2013 .

Aspect extraction for opinion mining with a deep convolutional neural network

CambriaErik, GelbukhAlexander, PoriaSoujanya, 2016 .

A multilingual semi-supervised approach in deriving Singlish sentic patterns for polarity detection

CambriaErik, ChiongRaymond, LoSiaw Ling, 2016 .

Jumping NLP Curves

CambriaErik, WhiteBebo, 2014 .

New Avenues in Opinion Mining and Sentiment Analysis

SchullerBjorn, CambriaErik, HavasiCatherine, 2013 .

Sentic Computing for social media marketing

CambriaErik, HavasiCatherine, HussainAmir, 2012 .

A review of affective computing

CambriaErik, HussainAmir, PoriaSoujanya, 2017 .

A concept-level approach to the analysis of online review helpfulness

CambriaErik, AlghazzawiDaniyal, QaziAika, 2016 .

Emotion and sentiment in social and expressive media

RossoPaolo, PattiViviana, CambriaErik, 2016 .

Towards an intelligent framework for multimodal affective data analysis

CambriaErik, HussainAmir, HuangGuang-Bin, 2015 .

Fusing audio, visual and textual clues for sentiment analysis from multimodal content

HowardNewton, CambriaErik, HussainAmir, 2016 .