Results 231 to 240 of about 3,503 (268)

Sentiment Lexicon Generation

2015
By now, it should be quite clear that words and phrases that convey positive or negative sentiment are instrumental for sentiment analysis. This chapter discusses how to compile such word lists. In the research literature, sentiment words are also called opinion words, polar words , or opinion-bearing words .
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Learning Domain-specific Sentiment Lexicon with Supervised Sentiment-aware LDA

2014
Analyzing and understanding people's sentiments towards different topics has become an interesting task due to the explosion of opinion-rich resources. In most sentiment analysis applications, sentiment lexicons play a crucial role, to be used as metadata of sentiment polarity. However, most previous works focus on discovering general-purpose sentiment
Zhu, D, Yang, M, Chow, KP, Rashed, M
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Generate domain-specific sentiment lexicon for review sentiment analysis

Multimedia Tools and Applications, 2018
Lexicon-based approaches for review sentiment analysis have attracted significant attention in recent years. Lots of sentiment lexicon generation methods have been proposed. However, the generation of domain-specific lexicon with unlabeled data has not been effectively addressed.
Hongyu Han, Jianpei Zhang, Jing Yang, Yiran Shen, Yongshi Zhang   +4 more
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Word sense disambiguation based sentiment lexicons for sentiment classification

Knowledge-Based Systems, 2016
Sentiment analysis has attracted much attention from both researchers and practitioners as word-of-mouth (WOM) has a significant influence on consumer behavior. One core task of sentiment analysis is the discovery of sentimental words. This can be done efficiently when an accurate and large-scale sentiment lexicon is used.
Chihli Hung, Shiuan-Jeng Chen
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Sentiment Lexicon Enhanced Attention-Based LSTM for Sentiment Classification

Proceedings of the AAAI Conference on Artificial Intelligence, 2018
Deep neural networks have gained great success recently for sentiment classification. However, these approaches do not fully exploit the linguistic knowledge. In this paper, we propose a novel sentiment lexicon enhanced attention-based LSTM (SLEA-LSTM) model to improve the performance of sentence-level sentiment classification.
Zeyang Lei, Yujiu Yang, Min Yang
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Sentiment Resources: Lexicons and Datasets

2017
Sentiment lexicons and datasets represent the knowledge base that lies at the foundation of a SA system. In its simplest form, a sentiment lexicon is a repository of words/phrases labelled with sentiment. Similarly, a sentiment-annotated dataset consists of documents (tweets, sentences or longer documents) labelled with one or more sentiment labels ...
Aditya Joshi, Pushpak Bhattacharyya, Sagar Ahire   +2 more
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Combine sentiment lexicon and dependency parsing for sentiment classification

Proceedings of the 2013 IEEE/SICE International Symposium on System Integration, 2013
With the rapid development of internet technology and e-commerce sites, there are more and more products review in the network. People are willing to make a survey on the internet before purchasing the products. The automatic identification of the sentiment of comments is necessary.
Changqin Quan, Xiquan Wei, Fuji Ren
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Towards the Lexicon-Based Sentiment Analysis of Polish Texts: Polarity Lexicon

2013
Due to the increasing amount of information available on the Web, sentiment analysis aiming at an automatic identification of the emotional load of texts is growing in importance. The aim of our research is to devise a reliable method for analsing sentiment in Polish texts, which requires developing adequate polarity lexical resources.
Haniewicz, Konstanty, Rutkowski, Wojciech, Adamczyk, Magdalena, Kaczmarek, Monika   +3 more
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Sentiment lexicons or BERT?

2022
Using a lexicon-based method, we have previously investigated emotions and sentiments in relation to the representation of landscape in Swiss literature, looking in particular at the differences between the rural and urban spaces portrayed in a corpus of Swiss novels written in German. The present paper takes a step forward, using manual annotation and
Giulia Grisot, Simone Rebora, J. Berenike Herrmann   +2 more
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Sentiment Analysis Using Lexicon Based Approach

2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC), 2018
With increasing easy access to internet there is an emergence of e-commerce and social media portals. There is a huge surge in the production of the human sentiments in form of customer reviews and feedback on these platforms. As per a survey approximately 2,500,000 Terabytes of data is created every day and 90% of the data which exist today has been ...
Vijendra Singh, Gurdeep Singh, Priyanka Rastogi, Devanshi Deswal   +3 more
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