Results 61 to 70 of about 22,491,724 (165)
Sentiment Analysis Using Collaborated Opinion Mining [PDF]
, 2014 Opinion mining and Sentiment analysis have emerged as a field of study since the widespread of World Wide Web and internet. Opinion refers to extraction of those lines or phrase in the raw and huge data which express an opinion. Sentiment analysis on the
Malhotra, Vikrant +2 more
core
Semisupervised Autoencoder for Sentiment Analysis
, 2015 In this paper, we investigate the usage of autoencoders in modeling textual data. Traditional autoencoders suffer from at least two aspects: scalability with the high dimensionality of vocabulary size and dealing with task-irrelevant words.
Zhai, Shuangfei, Zhang, Zhongfei
core +1 more source
Rude waiter but mouthwatering pastries! An exploratory study into Dutch aspect-based sentiment analysis [PDF]
, 2016 The fine-grained task of automatically detecting all sentiment expressions within a given document and the aspects to which they refer is known as aspect-based sentiment analysis.
De Clercq, Orphée, Hoste, Veronique
core
TripleSent: a triple store of events associated with their prototypical sentiment [PDF]
, 2016 The current generation of sentiment analysis systems is limited in their real-world applicability because they cannot detect utterances that implicitly carry positive or negative sentiment.
Desmet, Bart +3 more
core +1 more source
A Clustering Analysis of Tweet Length and its Relation to Sentiment [PDF]
arXiv, 2014 Sentiment analysis of Twitter data is performed. The researcher has made the following contributions via this paper: (1) an innovative method for deriving sentiment score dictionaries using an existing sentiment dictionary as seed words is explored, and (2) an analysis of clustered tweet sentiment scores based on tweet length is performed.
arxiv
Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis [PDF]
arXiv, 2020 Aspect-category sentiment analysis (ACSA) aims to predict sentiment polarities of sentences with respect to given aspect categories. To detect the sentiment toward a particular aspect category in a sentence, most previous methods first generate an aspect category-specific sentence representation for the aspect category, then predict the sentiment ...
arxiv
SemEval-2016 Task 5: Aspect Based Sentiment Analysis
International Workshop on Semantic Evaluation, 2016 This paper describes the SemEval 2016 shared task on Aspect Based Sentiment Analysis (ABSA), a continuation of the respective tasks of 2014 and 2015. In its third year, the task provided 19 training and 20 testing datasets for 8 languages and 7 domains ...
Maria Pontiki +6 more
semanticscholar +1 more source
Text Compression for Sentiment Analysis via Evolutionary Algorithms [PDF]
arXiv, 2017 Can textual data be compressed intelligently without losing accuracy in evaluating sentiment? In this study, we propose a novel evolutionary compression algorithm, PARSEC (PARts-of-Speech for sEntiment Compression), which makes use of Parts-of-Speech tags to compress text in a way that sacrifices minimal classification accuracy when used in conjunction
arxiv
SemEval-2015 Task 10: Sentiment Analysis in Twitter [PDF]
SemEval-2015, 2019 In this paper, we describe the 2015 iteration of the SemEval shared task on Sentiment Analysis in Twitter. This was the most popular sentiment analysis shared task to date with more than 40 teams participating in each of the last three years. This year's shared task competition consisted of five sentiment prediction subtasks.
arxiv
Entity-Level Sentiment: More than the Sum of Its Parts [PDF]
arXivIn sentiment analysis of longer texts, there may be a variety of topics discussed, of entities mentioned, and of sentiments expressed regarding each entity. We find a lack of studies exploring how such texts express their sentiment towards each entity of interest, and how these sentiments can be modelled.
arxiv