NLPExplorer

Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification

Paper Details:

Month: June
Year: 2014
Location: Baltimore, Maryland
Venue: ACL |

Citations

URL

Learning to Distill: The Essence Vector Modeling Framework
Kuan-Yu Chen | Shih-Hung Liu | Berlin Chen | Hsin-Min Wang |

Exploring Distributional Representations and Machine Translation for Aspect-based Cross-lingual Sentiment Classification.
Jeremy Barnes | Patrik Lambert | Toni Badia |

Content-based Influence Modeling for Opinion Behavior Prediction
Chengyao Chen | Zhitao Wang | Yu Lei | Wenjie Li |

Distance Metric Learning for Aspect Phrase Grouping
Shufeng Xiong | Yue Zhang | Donghong Ji | Yinxia Lou |

SenticNet 4: A Semantic Resource for Sentiment Analysis Based on Conceptual Primitives
Erik Cambria | Soujanya Poria | Rajiv Bajpai | Bjoern Schuller |

CNN- and LSTM-based Claim Classification in Online User Comments
Chinnappa Guggilla | Tristan Miller | Iryna Gurevych |

Effective LSTMs for Target-Dependent Sentiment Classification
Duyu Tang | Bing Qin | Xiaocheng Feng | Ting Liu |

Enriching Word Embeddings with Domain Knowledge for Readability Assessment
Zhiwei Jiang | Qing Gu | Yafeng Yin | Daoxu Chen |

A Lexicon-Based Supervised Attention Model for Neural Sentiment Analysis
Yicheng Zou | Tao Gui | Qi Zhang | Xuanjing Huang |

Learning Emotion-enriched Word Representations
Ameeta Agrawal | Aijun An | Manos Papagelis |

Encoding Sentiment Information into Word Vectors for Sentiment Analysis
Zhe Ye | Fang Li | Timothy Baldwin |

Bringing replication and reproduction together with generalisability in NLP: Three reproduction studies for Target Dependent Sentiment Analysis
Andrew Moore | Paul Rayson |

SeVeN: Augmenting Word Embeddings with Unsupervised Relation Vectors
Luis Espinosa-Anke | Steven Schockaert |

Using J-K-fold Cross Validation To Reduce Variance When Tuning NLP Models
Henry Moss | David Leslie | Paul Rayson |

Component-Enhanced Chinese Character Embeddings
Yanran Li | Wenjie Li | Fei Sun | Sujian Li |

Combining Discrete and Continuous Features for Deterministic Transition-based Dependency Parsing
Meishan Zhang | Yue Zhang |

Document Modeling with Gated Recurrent Neural Network for Sentiment Classification
Duyu Tang | Bing Qin | Ting Liu |

The Rating Game: Sentiment Rating Reproducibility from Text
Lasse Borgholt | Peter Simonsen | Dirk Hovy |

Context-Sensitive Lexicon Features for Neural Sentiment Analysis
Zhiyang Teng | Duy-Tin Vo | Yue Zhang |

Joint Embeddings of Chinese Words, Characters, and Fine-grained Subcharacter Components
Jinxing Yu | Xun Jian | Hao Xin | Yangqiu Song |

Sentiment Lexicon Construction with Representation Learning Based on Hierarchical Sentiment Supervision
Leyi Wang | Rui Xia |

Towards a Universal Sentiment Classifier in Multiple languages
Kui Xu | Xiaojun Wan |

Capturing User and Product Information for Document Level Sentiment Analysis with Deep Memory Network
Zi-Yi Dou |

Sentiment Intensity Ranking among Adjectives Using Sentiment Bearing Word Embeddings
Raksha Sharma | Arpan Somani | Lakshya Kumar | Pushpak Bhattacharyya |

Syntactical Analysis of the Weaknesses of Sentiment Analyzers
Rohil Verma | Samuel Kim | David Walter |

Attentive Gated Lexicon Reader with Contrastive Contextual Co-Attention for Sentiment Classification
Yi Tay | Anh Tuan Luu | Siu Cheung Hui | Jian Su |

TDParse: Multi-target-specific sentiment recognition on Twitter
Bo Wang | Maria Liakata | Arkaitz Zubiaga | Rob Procter |

Predicting Emotional Word Ratings using Distributional Representations and Signed Clustering
João Sedoc | Daniel Preoţiuc-Pietro | Lyle Ungar |

Attention Modeling for Targeted Sentiment
Jiangming Liu | Yue Zhang |

Combining Lightly-Supervised Text Classification Models for Accurate Contextual Advertising
Yiping Jin | Dittaya Wanvarie | Phu Le |

An Ensemble Method with Sentiment Features and Clustering Support
Huy Tien Nguyen | Minh Le Nguyen |

Task-Oriented Learning of Word Embeddings for Semantic Relation Classification
Kazuma Hashimoto | Pontus Stenetorp | Makoto Miwa | Yoshimasa Tsuruoka |

Learning Stock Market Sentiment Lexicon and Sentiment-Oriented Word Vector from StockTwits
Quanzhi Li | Sameena Shah |

Resources to Examine the Quality of Word Embedding Models Trained on n-Gram Data
Ábel Elekes | Adrian Englhardt | Martin Schäler | Klemens Böhm |

Specialising Paragraph Vectors for Text Polarity Detection
Fabio Tamburini |

Effective Use of Word Order for Text Categorization with Convolutional Neural Networks
Rie Johnson | Tong Zhang |

Word Embedding-based Antonym Detection using Thesauri and Distributional Information
Masataka Ono | Makoto Miwa | Yutaka Sasaki |

Simple task-specific bilingual word embeddings
Stephan Gouws | Anders Søgaard |

On the Automatic Learning of Sentiment Lexicons
Aliaksei Severyn | Alessandro Moschitti |

Ultradense Word Embeddings by Orthogonal Transformation
Sascha Rothe | Sebastian Ebert | Hinrich Schütze |

DAG-Structured Long Short-Term Memory for Semantic Compositionality
Xiaodan Zhu | Parinaz Sobhani | Hongyu Guo |

attr2vec: Jointly Learning Word and Contextual Attribute Embeddings with Factorization Machines
Fabio Petroni | Vassilis Plachouras | Timothy Nugent | Jochen L. Leidner |

Learning Domain Representation for Multi-Domain Sentiment Classification
Qi Liu | Yue Zhang | Jiangming Liu |

Learning to Disentangle Interleaved Conversational Threads with a Siamese Hierarchical Network and Similarity Ranking
Jyun-Yu Jiang | Francine Chen | Yan-Ying Chen | Wei Wang |

Learning Bilingual Sentiment Word Embeddings for Cross-language Sentiment Classification
HuiWei Zhou | Long Chen | Fulin Shi | Degen Huang |

Demographic Factors Improve Classification Performance
Dirk Hovy |

Learning Semantic Representations of Users and Products for Document Level Sentiment Classification
Duyu Tang | Bing Qin | Ting Liu |

A Hierarchical Knowledge Representation for Expert Finding on Social Media
Yanran Li | Wenjie Li | Sujian Li |

Bi-Transferring Deep Neural Networks for Domain Adaptation
Guangyou Zhou | Zhiwen Xie | Jimmy Xiangji Huang | Tingting He |

Don’t Count, Predict! An Automatic Approach to Learning Sentiment Lexicons for Short Text
Duy Tin Vo | Yue Zhang |

EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural Networks
Muhammad Abdul-Mageed | Lyle Ungar |

Semantic Word Clusters Using Signed Spectral Clustering
João Sedoc | Jean Gallier | Dean Foster | Lyle Ungar |

Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages
Jeremy Barnes | Roman Klinger | Sabine Schulte im Walde |

Learning Domain-Sensitive and Sentiment-Aware Word Embeddings
Bei Shi | Zihao Fu | Lidong Bing | Wai Lam |

A Helping Hand: Transfer Learning for Deep Sentiment Analysis
Xin Dong | Gerard de Melo |

Learning Representations Specialized in Spatial Knowledge: Leveraging Language and Vision
Guillem Collell | Marie-Francine Moens |

CMUQ@Qatar:Using Rich Lexical Features for Sentiment Analysis on Twitter
Sabih Bin Wasi | Rukhsar Neyaz | Houda Bouamor | Behrang Mohit |

Neural Networks for Integrating Compositional and Non-compositional Sentiment in Sentiment Composition
Xiaodan Zhu | Hongyu Guo | Parinaz Sobhani |

Webis: An Ensemble for Twitter Sentiment Detection
Matthias Hagen | Martin Potthast | Michel Büchner | Benno Stein |

SentiSys at SemEval-2016 Task 4: Feature-Based System for Sentiment Analysis in Twitter
Hussam Hamdan |

SENSEI-LIF at SemEval-2016 Task 4: Polarity embedding fusion for robust sentiment analysis
Mickael Rouvier | Benoit Favre |

UniPI at SemEval-2016 Task 4: Convolutional Neural Networks for Sentiment Classification
Giuseppe Attardi | Daniele Sartiano |

ECNU at SemEval-2016 Task 4: An Empirical Investigation of Traditional NLP Features and Word Embedding Features for Sentence-level and Topic-level Sentiment Analysis in Twitter
Yunxiao Zhou | Zhihua Zhang | Man Lan |

ECNU at SemEval-2016 Task 7: An Enhanced Supervised Learning Method for Lexicon Sentiment Intensity Ranking
Feixiang Wang | Zhihua Zhang | Man Lan |

Detecting Stance in Tweets And Analyzing its Interaction with Sentiment
Parinaz Sobhani | Saif Mohammad | Svetlana Kiritchenko |

ECNU at SemEval-2017 Task 8: Rumour Evaluation Using Effective Features and Supervised Ensemble Models
Feixiang Wang | Man Lan | Yuanbin Wu |

funSentiment at SemEval-2017 Task 4: Topic-Based Message Sentiment Classification by Exploiting Word Embeddings, Text Features and Target Contexts
Quanzhi Li | Armineh Nourbakhsh | Xiaomo Liu | Rui Fang | Sameena Shah |

LIA at SemEval-2017 Task 4: An Ensemble of Neural Networks for Sentiment Classification
Mickael Rouvier |

ECNU at SemEval-2017 Task 4: Evaluating Effective Features on Machine Learning Methods for Twitter Message Polarity Classification
Yunxiao Zhou | Man Lan | Yuanbin Wu |

TakeLab at SemEval-2017 Task 5: Linear aggregation of word embeddings for fine-grained sentiment analysis of financial news
Leon Rotim | Martin Tutek | Jan Šnajder |

SeerNet at SemEval-2018 Task 1: Domain Adaptation for Affect in Tweets
Venkatesh Duppada | Royal Jain | Sushant Hiray |

Amobee at SemEval-2018 Task 1: GRU Neural Network with a CNN Attention Mechanism for Sentiment Classification
Alon Rozental | Daniel Fleischer |

PlusEmo2Vec at SemEval-2018 Task 1: Exploiting emotion knowledge from emoji and #hashtags
Ji Ho Park | Peng Xu | Pascale Fung |

ECNU at SemEval-2018 Task 10: Evaluating Simple but Effective Features on Machine Learning Methods for Semantic Difference Detection
Yunxiao Zhou | Man Lan | Yuanbin Wu |

YNU-HPCC at SemEval-2018 Task 12: The Argument Reasoning Comprehension Task Using a Bi-directional LSTM with Attention Model
Quanlei Liao | Xutao Yang | Jin Wang | Xuejie Zhang |

A Linguistically Informed Convolutional Neural Network
Sebastian Ebert | Ngoc Thang Vu | Hinrich Schütze |

Learning Salient Samples and Distributed Representations for Topic-Based Chinese Message Polarity Classification
Xin Kang | Yunong Wu | Zhifei Zhang |

NRC: Infused Phrase Vectors for Named Entity Recognition in Twitter
Colin Cherry | Hongyu Guo | Chengbi Dai |

Using Word Embeddings for Bilingual Unsupervised WSD
Sudha Bhingardive | Dhirendra Singh | Rudramurthy V | Pushpak Bhattacharyya |

Sentiment Lexicon Creation using Continuous Latent Space and Neural Networks
Pedro Dias Cardoso | Anindya Roy |

Evaluating Informal-Domain Word Representations With UrbanDictionary
Naomi Saphra |

LitWay, Discriminative Extraction for Different Bio-Events
Chen Li | Zhiqiang Rao | Xiangrong Zhang |

Distant supervision for emotion detection using Facebook reactions
Chris Pool | Malvina Nissim |

Comparison of Short-Text Sentiment Analysis Methods for Croatian
Leon Rotim | Jan Šnajder |

DocTag2Vec: An Embedding Based Multi-label Learning Approach for Document Tagging
Sheng Chen | Akshay Soni | Aasish Pappu | Yashar Mehdad |

Assessing State-of-the-Art Sentiment Models on State-of-the-Art Sentiment Datasets
Jeremy Barnes | Roman Klinger | Sabine Schulte im Walde |

Multi-glance Reading Model for Text Understanding
Pengcheng Zhu | Yujiu Yang | Wenqiang Gao | Yi Liu |

Hierarchical Convolutional Attention Networks for Text Classification
Shang Gao | Arvind Ramanathan | Georgia Tourassi |

TRAC-1 Shared Task on Aggression Identification: IIT(ISM)@COLING’18
Ritesh Kumar | Guggilla Bhanodai | Rajendra Pamula | Maheshwar Reddy Chennuru |

Language Independent Sentiment Analysis with Sentiment-Specific Word Embeddings
Carl Saroufim | Akram Almatarky | Mohammad Abdel Hady |

Ternary Twitter Sentiment Classification with Distant Supervision and Sentiment-Specific Word Embeddings
Mats Byrkjeland | Frederik Gørvell de Lichtenberg | Björn Gambäck |

HUMIR at IEST-2018: Lexicon-Sensitive and Left-Right Context-Sensitive BiLSTM for Implicit Emotion Recognition
Behzad Naderalvojoud | Alaettin Ucan | Ebru Akcapinar Sezer |

UWB at IEST 2018: Emotion Prediction in Tweets with Bidirectional Long Short-Term Memory Neural Network
Pavel Přibáň | Jiří Martínek |

What Makes You Stressed? Finding Reasons From Tweets
Reshmi Gopalakrishna Pillai | Mike Thelwall | Constantin Orasan |

Learning representations for sentiment classification using Multi-task framework
Hardik Meisheri | Harshad Khadilkar |

Japanese Sentiment Classification with Stacked Denoising Auto-Encoder using Distributed Word Representation
Peinan Zhang | Mamoru Komachi |

https://code.google.com/p/word2vec/

Field Of Study

Linguistic Trends

Embeddings Syntax

Task

Tagging Sentiment Analysis Text Categorization

Approach

Deep Learning Representation Learning Semi-supervised Learning Unsupervised Learning

Language

Chinese

Dataset

Biographies Social Media Twitter Blogs

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