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Found 12 papers, 2 papers with code
Sequential Domain Adaptation through Elastic Weight Consolidation for Sentiment Analysis
SDA draws on EWC for training on successive source domains to move towards a general domain solution, thereby solving the problem of domain adaptation.
A SentiWordNet Strategy for Curriculum Learning in Sentiment Analysis
In this paper, we apply the ideas of curriculum learning, driven by SentiWordNet in a sentiment analysis setting.
A Position Aware Decay Weighted Network for Aspect based Sentiment Analysis
Aspect Term Sentiment Analysis (ATSA) is a subtask of ABSA, in which aspect terms are contained within the given sentence.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
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Sequential Learning of Convolutional Features for Effective Text Classification
With the advent of deep learning, convolutional neural network (CNN) has been a popular solution to this task.
Hindi Question Generation Using Dependency Structures
We present a rule-based system for question generation in Hindi by formalizing question transformation methods based on karaka-dependency theory.
Gated Convolutional Neural Networks for Domain Adaptation
In this paper, we show that Gated Convolutional Neural Networks (GCN) perform effectively at learning sentiment analysis in a manner where domain dependant knowledge is filtered out using its gates.
Effectiveness of Self Normalizing Neural Networks for Text Classification
In this paper we aim to show the effectiveness of proposed, Self Normalizing Convolutional Neural Networks(SCNN) on text classification.
Twitter corpus of Resource-Scarce Languages for Sentiment Analysis and Multilingual Emoji Prediction
In this paper, we leverage social media platforms such as twitter for developing corpus across multiple languages.
Towards Enhancing Lexical Resource and Using Sense-annotations of OntoSenseNet for Sentiment Analysis
With this as basis, we aim to analyze the importance of sense-annotations obtained from OntoSenseNet in performing the task of sentiment analysis.
BCSAT : A Benchmark Corpus for Sentiment Analysis in Telugu Using Word-level Annotations
The presented work aims at generating a systematically annotated corpus that can support the enhancement of sentiment analysis tasks in Telugu using word-level sentiment annotations.
Towards Automation of Sense-type Identification of Verbs in OntoSenseNet(Telugu)
In this paper, we discuss the enrichment of a manually developed resource of Telugu lexicon, OntoSenseNet.
Towards Automation of Sense-type Identification of Verbs in OntoSenseNet
In this paper, we discuss the enrichment of a manually developed resource, OntoSenseNet for Telugu.
