Stem sentiment$ (all stems)

127 papers:

HT-2015-GutierrezP #microblog #sentiment

Sentiment-based User Profiles in Microblogging Platforms (FJG, BP), pp. 23–32.

HT-2015-MishraDBS #analysis #incremental #learning #sentiment

Sentiment Analysis with Incremental Human-in-the-Loop Learning and Lexical Resource Customization (SM, JD, JB, ES), pp. 323–325.

ICSME-2015-JongelingDS #analysis #re-engineering #research #sentiment #tool support

Choosing your weapons: On sentiment analysis tools for software engineering research (RJ, SD, AS), pp. 531–535.

HIMI-IKD-2015-GonzalezCB #approach #design #modelling #sentiment

Modeling User’s Sentiment in User Segmentations: An Argumentation Approach for User Centered Design (MPG, CIC, RFB), pp. 595–606.

SCSM-2015-KinclNPS #analysis #independence #sentiment

Language-Independent Sentiment Analysis with Surrounding Context Extension (TK, MN, JP, PS), pp. 158–168.

ECIR-2015-CanneytCD #classification #sentiment #topic #twitter

Topic-Dependent Sentiment Classification on Twitter (SVC, NC, BD), pp. 441–446.

ECIR-2015-HagenPBS #classification #detection #sentiment #twitter #using

Twitter Sentiment Detection via Ensemble Classification Using Averaged Confidence Scores (MH, MP, MB, BS), pp. 741–754.

ECIR-2015-HuynhHR #analysis #learning #sentiment #strict

Learning Higher-Level Features with Convolutional Restricted Boltzmann Machines for Sentiment Analysis (TH, YH, SMR), pp. 447–452.

ECIR-2015-LeeL #sentiment

Measuring User Influence, Susceptibility and Cynicalness in Sentiment Diffusion (RKWL, EPL), pp. 411–422.

ECIR-2015-Moghaddam #analysis #fault #feedback #mining #sentiment

Beyond Sentiment Analysis: Mining Defects and Improvements from Customer Feedback (SM), pp. 400–410.

ECIR-2015-Peleja #graph #named #sentiment

PopMeter: Linked-Entities in a Sentiment Graph (FP), pp. 785–788.

ECIR-2015-PelejaM #learning #retrieval #sentiment

Learning Sentiment Based Ranked-Lexicons for Opinion Retrieval (FP, JM), pp. 435–440.

MLDM-2015-CoralloFMACCGS #analysis #approach #sentiment

Sentiment Analysis for Government: An Optimized Approach (AC, LF, MM, MA, AC, VC, EG, DS), pp. 98–112.

MLDM-2015-ShaluntsB #analysis #named #sentiment

SentiSAIL: Sentiment Analysis in English, German and Russian (GS, GB), pp. 87–97.

SIGIR-2015-SeverynM15a #analysis #network #sentiment #twitter

Twitter Sentiment Analysis with Deep Convolutional Neural Networks (AS, AM), pp. 959–962.

SIGIR-2015-YangKML #modelling #parametricity #sentiment #topic

Parametric and Non-parametric User-aware Sentiment Topic Models (ZY, AK, AM, SL), pp. 413–422.

SAC-2015-DAddioM #approach #collaboration #sentiment

A sentiment-based item description approach for kNN collaborative filtering (RMD, MGM), pp. 1060–1065.

SAC-2015-DermoucheKVL #modelling #sentiment #topic

A joint model for topic-sentiment modeling from text (MD, LK, JV, SL), pp. 819–824.

SAC-2015-IqbalKK #analysis #sentiment

Bias-aware lexicon-based sentiment analysis (MI, AK, FK), pp. 845–850.

SIGMOD-2014-ZhuGCL #analysis #clustering #graph #sentiment #social #social media

Tripartite graph clustering for dynamic sentiment analysis on social media (LZ, AG, JC, KL), pp. 1531–1542.

MSR-2014-GuzmanAL #analysis #commit #empirical #git #sentiment

Sentiment analysis of commit comments in GitHub: an empirical study (EG, DA, YL), pp. 352–355.

MSR-2014-PleteaVS #analysis #git #security #sentiment

Security and emotion: sentiment analysis of security discussions on GitHub (DP, BV, AS), pp. 348–351.

EDOC-2014-MukkamalaHV #analysis #sentiment #social

Fuzzy-Set Based Sentiment Analysis of Big Social Data (RRM, AH, RKV), pp. 71–80.

CIKM-2014-FangQHZ #bibliography #composition #ranking #sentiment #summary #using

Ranking Sentiment Explanations for Review Summarization Using Dual Decomposition (LF, QQ, MH, XZ), pp. 1931–1934.

CIKM-2014-LiangZHGB #identification #named #novel #sentiment #word

CONR: A Novel Method for Sentiment Word Identification (JL, XZ, YH, LG, SB), pp. 1943–1946.

CIKM-2014-LimB #sentiment #topic #twitter

Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon (KWL, WLB), pp. 1319–1328.

CIKM-2014-LinJXWCW #analysis #sentiment

A Cross-Lingual Joint Aspect/Sentiment Model for Sentiment Analysis (ZL, XJ, XX, WW, XC, YW), pp. 1089–1098.

CIKM-2014-LinLYC #classification #modelling #sentiment

Exploring Ensemble of Models in Taxonomy-based Cross-Domain Sentiment Classification (CKL, YYL, CHY, HHC), pp. 1279–1288.

ECIR-2014-MonizJ #analysis #sentiment

Sentiment Analysis and the Impact of Employee Satisfaction on Firm Earnings (AM, FdJ), pp. 519–527.

KDD-2014-DiaoQWSJW #aspect-oriented #modelling #recommendation #sentiment

Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS) (QD, MQ, CYW, AJS, JJ, CW), pp. 193–202.

KDD-2014-SudhofEMP #sentiment #social

Sentiment expression conditioned by affective transitions and social forces (MS, AGE, ALM, CP), pp. 1136–1145.

KDIR-2014-HasnaMDP #recommendation #sentiment

Sentiment Polarity Extension for Context-Sensitive Recommender Systems (OLH, FCM, MD, RP), pp. 126–137.

KDIR-2014-LiuF #analysis #classification #sentiment #topic #web

Web Content Classification based on Topic and Sentiment Analysis of Text (SL, TF), pp. 300–307.

KDIR-2014-LiuF14a #analysis #classification #n-gram #sentiment #similarity #web

Combining N-gram based Similarity Analysis with Sentiment Analysis in Web Content Classification (SL, TF), pp. 530–537.

KDIR-2014-NagwanshiM #detection #semantics #sentiment #using

Sarcasm Detection using Sentiment and Semantic Features (PN, CEVM), pp. 418–424.

KDIR-2014-PsomakelisTAV #analysis #sentiment #twitter

Comparing Methods for Twitter Sentiment Analysis (EP, KT, DA, TAV), pp. 225–232.

KDIR-2014-WanJLL #analysis #challenge #sentiment #web

Sentimental Analysis of Web Financial Reviews — Opportunities and Challenges (CW, TJ, DL, GL), pp. 366–373.

KMIS-2014-DinsoreanuB #classification #sentiment #twitter

Unsupervised Twitter Sentiment Classification (MD, AB), pp. 220–227.

RecSys-2014-YuanMZS #predict #sentiment

Exploiting sentiment homophily for link prediction (GY, PKM, ZZ, MPS), pp. 17–24.

SIGIR-2014-HaiCCLC #bibliography #sentiment

Coarse-to-fine review selection via supervised joint aspect and sentiment model (ZH, GC, KC, WL, PC), pp. 617–626.

SIGIR-2014-LourencoVPMFP #analysis #sentiment

Economically-efficient sentiment stream analysis (RLdOJ, AV, AMP, WMJ, RF, SP), pp. 637–646.

SIGIR-2014-PelejaSM #analysis #sentiment

Reputation analysis with a ranked sentiment-lexicon (FP, JS, JM), pp. 1207–1210.

SIGIR-2014-ZhangL0ZLM #analysis #modelling #recommendation #sentiment

Explicit factor models for explainable recommendation based on phrase-level sentiment analysis (YZ, GL, MZ, YZ, YL, SM), pp. 83–92.

SIGIR-2014-ZhangZ0LM #bibliography #classification #sentiment

Do users rate or review?: boost phrase-level sentiment labeling with review-level sentiment classification (YZ, HZ, MZ, YL, SM), pp. 1027–1030.

RE-2014-GuzmanM #analysis #fine-grained #how #sentiment

How Do Users Like This Feature? A Fine Grained Sentiment Analysis of App Reviews (EG, WM), pp. 153–162.

HT-2013-KrestelS #generative #sentiment #topic

Generating contextualized sentiment lexica based on latent topics and user ratings (RK, SS), pp. 129–138.

HT-2013-YangZYW #personalisation #recommendation #sentiment

A sentiment-enhanced personalized location recommendation system (DY, DZ, ZY, ZW), pp. 119–128.

ICDAR-2013-NalisnickB #network #sentiment

Extracting Sentiment Networks from Shakespeare’s Plays (ETN, HSB), pp. 758–762.

SIGMOD-2013-TsytsarauAP #correlation #performance #scalability #sentiment

Efficient sentiment correlation for large-scale demographics (MT, SAY, TP), pp. 253–264.

HCI-III-2013-DasG #exclamation #sentiment

Sentimental Eyes! (AD, BG), pp. 310–318.

HIMI-D-2013-YanagimotoSY #classification #estimation #network #sentiment #using #word

Word Classification for Sentiment Polarity Estimation Using Neural Network (HY, MS, AY), pp. 669–677.

OCSC-2013-YuanOXS #bibliography #classification #sentiment #using #web

Sentiment Classification of Web Review Using Association Rules (MY, YO, ZX, HS), pp. 442–450.

CIKM-2013-BrossE #automation #bibliography #mining #sentiment

Automatic construction of domain and aspect specific sentiment lexicons for customer review mining (JB, HE), pp. 1077–1086.

CIKM-2013-FangHZ #analysis #bibliography #sentiment

Exploring weakly supervised latent sentiment explanations for aspect-level review analysis (LF, MH, XZ), pp. 1057–1066.

ECIR-2013-ErmakovE #classification #sentiment

Sentiment Classification Based on Phonetic Characteristics (SE, LE), pp. 706–709.

KDIR-KMIS-2013-CheetiSC #adaptation #approach #classification #naive bayes #sentiment #syntax #using

Cross-domain Sentiment Classification using an Adapted Naïve Bayes Approach and Features Derived from Syntax Trees (SC, AS, DC), pp. 169–176.

KDIR-KMIS-2013-DimasKV #approach #sentiment #twitter

Every Character Counts — A Character based Approach to Determine Political Sentiment on Twitter (AD, PCK, EMV), pp. 261–266.

KDIR-KMIS-2013-LlavoriLGNAS #analysis #framework #named #sentiment #towards

i-SLOD: Towards an Infrastructure for Enabling the Dissemination and Analysis of Sentiment Data (RBL, DML, LGM, VN, MJA, IS), pp. 214–219.

RecSys-2013-DongOSMS #recommendation #sentiment

Sentimental product recommendation (RD, MPO, MS, KM, BS), pp. 411–414.

SIGIR-2013-AktolgaA #bias #sentiment

Sentiment diversification with different biases (EA, JA), pp. 593–602.

SIGIR-2013-PappasP #analysis #collaboration #sentiment

Sentiment analysis of user comments for one-class collaborative filtering over ted talks (NP, APB), pp. 773–776.

SAC-2013-HogenboomBFBJK #analysis #sentiment

Exploiting emoticons in sentiment analysis (AH, DB, FF, MB, FdJ, UK), pp. 703–710.

HT-2012-AisoposPTV #analysis #comparative #microblog #sentiment

Content vs. context for sentiment analysis: a comparative analysis over microblogs (FA, GP, KT, TAV), pp. 187–196.

CHI-2012-YangAAWL #sentiment

The way i talk to you: sentiment expression in an organizational context (JY, LAA, MSA, ZW, CYL), pp. 551–554.

CIKM-2012-AmiriC #mining #sentiment

Mining sentiment terminology through time (HA, TSC), pp. 2060–2064.

CIKM-2012-JuLSZHL #classification #documentation #sentiment #word

Dual word and document seed selection for semi-supervised sentiment classification (SJ, SL, YS, GZ, YH, XL), pp. 2295–2298.

CIKM-2012-LinTCXS #effectiveness #performance #sentiment #using

Effective and efficient?: bilingual sentiment lexicon extraction using collocation alignment (ZL, ST, XC, XX, WS), pp. 1542–1546.

CIKM-2012-MukherjeeMRB #multi #named #sentiment #twitter

TwiSent: a multistage system for analyzing sentiment in twitter (SM, AM, BAR, PB), pp. 2531–2534.

CIKM-2012-VuralCS #crawling #sentiment #web

Sentiment-focused web crawling (AGV, BBC, PS), pp. 2020–2024.

CIKM-2012-XuTLCL #aspect-oriented #sentiment #towards

Towards jointly extracting aspects and aspect-specific sentiment knowledge (XX, ST, YL, XC, ZL), pp. 1895–1899.

ECIR-2012-Garcia-MoyaAL #modelling #probability #retrieval #sentiment

Combining Probabilistic Language Models for Aspect-Based Sentiment Retrieval (LGM, HAS, RBL), pp. 561–564.

ECIR-2012-KarlgrenSOEH #analysis #sentiment

Usefulness of Sentiment Analysis (JK, MS, FO, FE, OH), pp. 426–435.

KDD-2012-ZhaoDWX #analysis #named #sentiment #twitter

MoodLens: an emoticon-based sentiment analysis system for chinese tweets (JZ, LD, JW, KX), pp. 1528–1531.

KDIR-2012-FukumotoMM #analysis #collaboration #recommendation #sentiment

Collaborative Filtering based on Sentiment Analysis of Guest Reviews for Hotel Recommendation (FF, CM, SM), pp. 193–198.

KDIR-2012-MountassirBB #analysis #problem #semistructured data #sentiment #set

Addressing the Problem of Unbalanced Data Sets in Sentiment Analysis (AM, HB, IB), pp. 306–311.

SEKE-2012-JangidPE #analysis #mobile #predict #sentiment #using

A Mobile Application for Stock Market Prediction Using Sentiment Analysis (KJ, PP, ME), pp. 13–18.

SIGIR-2012-ONeil #ranking #sentiment #using

Entity sentiment extraction using text ranking (JO), p. 1024.

SIGIR-2012-ZhangXCHDALC #identification #information management #semantics #sentiment #syntax

Sentiment identification by incorporating syntax, semantics and context information (KZ, YX, YC, DH, DD, AA, WkL, ANC), pp. 1143–1144.

SAC-2012-Kawamae #sentiment

Joint sentiment aspect model (NK), pp. 205–210.

SAC-2012-KhucSRR #analysis #distributed #scalability #sentiment #towards #twitter

Towards building large-scale distributed systems for twitter sentiment analysis (VNK, CS, RR, JR), pp. 459–464.

CSCW-2011-ParkKKLS #predict #sentiment

The politics of comments: predicting political orientation of news stories with commenters’ sentiment patterns (SP, MK, JK, YL, JS), pp. 113–122.

CIKM-2011-BespalovBQS #analysis #classification #n-gram #sentiment

Sentiment classification based on supervised latent n-gram analysis (DB, BB, YQ, AS), pp. 375–382.

CIKM-2011-GaoL #adaptation #analysis #classification #probability #sentiment #using

A cross-domain adaptation method for sentiment classification using probabilistic latent analysis (SG, HL), pp. 1047–1052.

CIKM-2011-GuoZGS #analysis #aspect-oriented #multi #sentiment

Domain customization for aspect-oriented opinion analysis with multi-level latent sentiment clues (HG, HZ, ZG, ZS), pp. 2493–2496.

CIKM-2011-LauLBW #learning #scalability #sentiment #web

Leveraging web 2.0 data for scalable semi-supervised learning of domain-specific sentiment lexicons (RYKL, CLL, PB, KFW), pp. 2457–2460.

CIKM-2011-LinTC #classification #independence #sentiment #using #word

Language-independent sentiment classification using three common words (ZL, ST, XC), pp. 1041–1046.

CIKM-2011-LiuLZD #classification #network #sentiment

Sentiment classification via l2-norm deep belief network (TL, ML, SZ, XD), pp. 2489–2492.

CIKM-2011-LiZWLW #classification #sentiment

Imbalanced sentiment classification (SL, GZ, ZW, SYML, RW), pp. 2469–2472.

CIKM-2011-MohtaramiALT #nondeterminism #predict #sentiment

Predicting the uncertainty of sentiment adjectives in indirect answers (MM, HA, ML, CLT), pp. 2485–2488.

CIKM-2011-PeraQN #multi #sentiment

A query-based multi-document sentiment summarizer (MSP, RQ, YKN), pp. 1071–1076.

CIKM-2011-WangWLZZ #analysis #approach #classification #graph #hashtag #sentiment #topic #twitter

Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach (XW, FW, XL, MZ, MZ), pp. 1031–1040.

CIKM-2011-WeichselbraunGS #game studies #sentiment #using

Using games with a purpose and bootstrapping to create domain-specific sentiment lexicons (AW, SG, AS), pp. 1053–1060.

ECIR-2011-Carrillo-de-AlbornozPGD #analysis #bibliography #mining #rating #sentiment

A Joint Model of Feature Mining and Sentiment Analysis for Product Review Rating (JCdA, LP, PG, AD), pp. 55–66.

ECIR-2011-Demartini #named #retrieval #sentiment

ARES: A Retrieval Engine Based on Sentiments — Sentiment-Based Search Result Annotation and Diversification (GD), pp. 772–775.

ECIR-2011-He #classification #sentiment

Latent Sentiment Model for Weakly-Supervised Cross-Lingual Sentiment Classification (YH), pp. 214–225.

ECIR-2011-TackstromM #fine-grained #modelling #predict #sentiment

Discovering Fine-Grained Sentiment with Latent Variable Structured Prediction Models (OT, RTM), pp. 368–374.

ICML-2011-GlorotBB #adaptation #approach #classification #learning #scalability #sentiment

Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach (XG, AB, YB), pp. 513–520.

KDD-2011-GuerraVMA #analysis #approach #bias #realtime #sentiment

From bias to opinion: a transfer-learning approach to real-time sentiment analysis (PHCG, AV, WMJ, VA), pp. 150–158.

KDD-2011-TanLTJZL #analysis #network #sentiment #social

User-level sentiment analysis incorporating social networks (CT, LL, JT, LJ, MZ, PL), pp. 1397–1405.

MLDM-2011-JiangMY #analysis #sentiment #topic

Topic Sentiment Change Analysis (YJ, WM, CTY), pp. 443–457.

RecSys-2011-Faridani #analysis #canonical #correlation #recommendation #sentiment #using

Using canonical correlation analysis for generalized sentiment analysis, product recommendation and search (SF), pp. 355–358.

SIGIR-2011-SilvaGVMF #analysis #effectiveness #self #sentiment

Effective sentiment stream analysis with self-augmenting training and demand-driven projection (ISS, JG, AV, WMJ, RF), pp. 475–484.

CHI-2010-DiakopoulosS #performance #sentiment #twitter

Characterizing debate performance via aggregated twitter sentiment (ND, DAS), pp. 1195–1198.

CIKM-2010-BerminghamS #microblog #question #sentiment

Classifying sentiment in microblogs: is brevity an advantage? (AB, AFS), pp. 1833–1836.

CIKM-2010-DragutYSM #sentiment #taxonomy #word

Construction of a sentimental word dictionary (ECD, CTY, APS, WM), pp. 1761–1764.

CIKM-2010-He #classification #learning #sentiment

Learning sentiment classification model from labeled features (YH), pp. 1685–1688.

ICPR-2010-LiZXCG #analysis #documentation #multi #sentiment

Exploiting Combined Multi-level Model for Document Sentiment Analysis (SL, HZ, WX, GC, JG), pp. 4141–4144.

KDIR-2010-LieglGSH #automation #detection #sentiment #taxonomy

Dictionary Extension for Improving Automated Sentiment Detection (JL, SG, AS, AHH), pp. 404–407.

SIGIR-2010-LeeLSR #precise #retrieval #sentiment #using

High precision opinion retrieval using sentiment-relevance flows (SWL, JTL, YIS, HCR), pp. 817–818.

SIGIR-2010-LiuYHA #adaptation #analysis #performance #predict #sentiment

S-PLASA+: adaptive sentiment analysis with application to sales performance prediction (YL, XY, XH, AA), pp. 873–874.

CIKM-2009-DuT #sentiment

Building domain-oriented sentiment lexicon by improved information bottleneck (WD, ST), pp. 1749–1752.

CIKM-2009-JiaYM #analysis #effectiveness #retrieval #sentiment

The effect of negation on sentiment analysis and retrieval effectiveness (LJ, CTY, WM), pp. 1827–1830.

CIKM-2009-LinH #analysis #sentiment #topic

Joint sentiment/topic model for sentiment analysis (CL, YH), pp. 375–384.

CIKM-2009-LiuZ #classification #sentiment #using

Cross-domain sentiment classification using a two-stage method (KL, JZ), pp. 1717–1720.

CIKM-2009-QiuZHZ #classification #named #self #sentiment

SELC: a self-supervised model for sentiment classification (LQ, WZ, CH, KZ), pp. 929–936.

ECIR-2009-FanC #sentiment

Sentiment-Oriented Contextual Advertising (TKF, CHC), pp. 202–215.

ECIR-2009-NaLNL #retrieval #sentiment

Improving Opinion Retrieval Based on Query-Specific Sentiment Lexicon (SHN, YL, SHN, JHL), pp. 734–738.

ECIR-2009-TanCWX #adaptation #analysis #naive bayes #sentiment

Adapting Naive Bayes to Domain Adaptation for Sentiment Analysis (ST, XC, YW, HX), pp. 337–349.

KDD-2009-MelvilleGL #analysis #classification #sentiment

Sentiment analysis of blogs by combining lexical knowledge with text classification (PM, WG, RDL), pp. 1275–1284.

SIGIR-2009-LiSDZ #classification #sentiment

Knowledge transformation for cross-domain sentiment classification (TL, VS, CHQD, YZ), pp. 716–717.

SIGIR-2008-TanWC #detection #sentiment #using

Combining learn-based and lexicon-based techniques for sentiment detection without using labeled examples (ST, YW, XC), pp. 743–744.

SIGIR-2008-ZhangY #generative #retrieval #sentiment #topic

A generation model to unify topic relevance and lexicon-based sentiment for opinion retrieval (MZ, XY), pp. 411–418.

CIKM-2007-TanWTC #analysis #novel #problem #sentiment

A novel scheme for domain-transfer problem in the context of sentiment analysis (ST, GW, HT, XC), pp. 979–982.

ECIR-2007-MeenaP #analysis #sentiment #using

Sentence Level Sentiment Analysis in the Presence of Conjuncts Using Linguistic Analysis (AM, TVP), pp. 573–580.

SIGIR-2007-LiuHAY #named #performance #predict #sentiment #using

ARSA: a sentiment-aware model for predicting sales performance using blogs (YL, XH, AA, XY), pp. 607–614.

CIKM-2005-WhitelawGA #analysis #sentiment #using

Using appraisal groups for sentiment analysis (CW, NG, SA), pp. 625–631.

DRR-2004-HurstN #documentation #online #sentiment #topic

Retrieving topical sentiments from online document collections (MFH, KN), pp. 27–34.