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Analysis of customer reviews with an improved VADER lexicon classifier
BackgroundThe importance of customer reviews in determining satisfaction has significantly increased in the digital marketplace. Using sentiment...
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Lexicon enhanced Chinese named entity recognition with pointer network
In recent time, lexicon-based LSTM and pre-training language models are combined to explore the Chinese Named Entity Recognition (NER) and achieve...
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Chinese Named Entity Recognition Augmented with Lexicon Memory
Inspired by the concept of content-addressable retrieval from cognitive science, we propose a novel fragmentbased Chinese named entity recognition...
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Multi-task learning with helpful word selection for lexicon-enhanced Chinese NER
Named entity recognition (NER) is a common task in the field of natural language processing, but it remains more challenging in Chinese due to the...
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A lexicon-based approach for sentiment analysis of multimodal content in tweets
Sentiment analysis (SA) is widely used in various applications such as online opinion gathering for policy directives in government, monitoring of...
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SeNSe: embedding alignment via semantic anchors selection
Word embeddings have proven extremely useful across many NLP applications in recent years. Several key linguistic tasks, such as machine translation...
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Reviewing the effectiveness of lexicon-based techniques for sentiment analysis in massive open online courses
Massive open online courses (MOOCs) platforms now play a big part in online learning. These platforms typically solicit course-related feedback from...
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A chinese named entity recognition method for small-scale dataset based on lexicon and unlabeled data
Recently, using lexicon information to improve the performance of Chinese named entity recognition has been proven to be effective. Moreover, the...
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Enhancing isomorphism between word embedding spaces for distant languages bilingual lexicon induction
Most of the bilingual lexicon induction (BLI) models learn a map** function that can transfer word embedding (WE) spaces from one language to...
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Automatically Constructing a Fine-Grained Sentiment Lexicon for Sentiment Analysis
Sentiment analysis is an important research area in natural language processing (NLP), and the performance of sentiment analysis models is largely...
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Research on the Semantic Collocations of Mental Verbs and the Generative Mechanisms of Polysemy: The Generative Lexicon
In accordance with Pustejovsky’s proposed Semantic Generation Mechanisms, this research aims to investigate the principles governing semantic...
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A method of constructing a fine-grained sentiment lexicon for the humanities computing of classical chinese poetry
In Chinese classics, the sentiment attitudes or thoughts of the ancients regarding specific environments, people, and events were generally expressed...
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A survey of sentiment analysis from film critics based on machine learning, lexicon and hybridization
Recent research and developments in the field of Sentiment Analysis (SA) have made it possible to simplify the detection and classification of...
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A Hybrid Approach for Spanish Emotion Recognition Applying Fuzzy Semantic Processing
Emotion detection is a task in sentiment analysis that deals with the extraction and analysis of emotions in texts. Recognizing implicit emotions is...
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Lexicon-based probabilistic indexing of handwritten text images
Keyword Spotting (KWS) is here considered as a basic technology for Probabilistic Indexing (PrIx) of large collections of handwritten text images to...
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Neural models for semantic analysis of handwritten document images
Semantic analysis of handwritten document images offers a wide range of practical application scenarios. A sequential combination of handwritten text...
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A novel self-supervised sentiment classification approach using semantic labeling based on contextual embeddings
Sentiment Analysis (SA) is a domain or context-oriented task since the sentiment words convey different sentiments in various domains. As a result,...
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TFM: A Triple Fusion Module for Integrating Lexicon Information in Chinese Named Entity Recognition
Due to the characteristics of the Chinese writing system, character-based Chinese named entity recognition models ignore the word information in...
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Sentiment Analysis of Teaching Evaluation Based on Complex Semantic Analysis
In the era of digital education, student evaluations of teachers constitute a crucial component of digital education. They serve as a driving force...
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Semantic Analysis
This chapter studies semantic analysis, one of the core concepts for learning NLP. There are two basic schemes of semantic analysis: lexical and...