Better document-level sentiment analysis from rst discourse parsing
Discourse structure is the hidden link between surface features and document-level
properties, such as sentiment polarity. We show that the discourse analyses produced by …
properties, such as sentiment polarity. We show that the discourse analyses produced by …
Aspect-based opinion ranking framework for product reviews using a Spearman's rank correlation coefficient method
Opinion mining (also called sentiment analysis) is a type of natural language processing for
computing people's opinions and emotions. It detects opinions from structured, semi …
computing people's opinions and emotions. It detects opinions from structured, semi …
Sentiment analysis based on rhetorical structure theory: Learning deep neural networks from discourse trees
M Kraus, S Feuerriegel - Expert Systems with Applications, 2019 - Elsevier
Prominent applications of sentiment analysis are countless, covering areas such as
marketing, customer service and communication. The conventional bag-of-words approach …
marketing, customer service and communication. The conventional bag-of-words approach …
Sequentially controlled text generation
While GPT-2 generates sentences that are remarkably human-like, longer documents can
ramble and do not follow human-like writing structure. We study the problem of imposing …
ramble and do not follow human-like writing structure. We study the problem of imposing …
Using rhetorical structure in sentiment analysis
Using rhetorical structure in sentiment analysis Page 1 JULY 2015 | VOL. 58 | NO. 7 |
COMMUNICATIONS OF THE ACM 69 DOI:10.1145/2699418 A deep, fine-grain analysis of …
COMMUNICATIONS OF THE ACM 69 DOI:10.1145/2699418 A deep, fine-grain analysis of …
Multitask semi-supervised learning for class-imbalanced discourse classification
A Spangher, J May, SR Shiang… - Proceedings of the 2021 …, 2021 - aclanthology.org
As labeling schemas evolve over time, small differences can render datasets following older
schemas unusable. This prevents researchers from building on top of previous annotation …
schemas unusable. This prevents researchers from building on top of previous annotation …
[PDF][PDF] Stance detection and analysis in social media
P Sobhani - 2017 - ruor.uottawa.ca
Computational approaches to opinion mining have mostly focused on polarity detection of
product reviews by classifying the given text as positive, negative or neutral. While, there is …
product reviews by classifying the given text as positive, negative or neutral. While, there is …
[图书][B] Text analysis pipelines: towards ad-hoc large-scale text mining
H Wachsmuth - 2015 - books.google.com
This monograph proposes a comprehensive and fully automatic approach to designing text
analysis pipelines for arbitrary information needs that are optimal in terms of run-time …
analysis pipelines for arbitrary information needs that are optimal in terms of run-time …
Long short-term memory network over rhetorical structure theory for sentence-level sentiment analysis
X Fu, W Liu, Y Xu, C Yu, T Wang - Asian conference on …, 2016 - proceedings.mlr.press
Using deep learning models to solve sentiment analysis of sentences is still a challenging
task. Long short-term memory (LSTM) network solves the gradient disappeared problem …
task. Long short-term memory (LSTM) network solves the gradient disappeared problem …
Role of discourse information in Urdu sentiment classification: A rule-based method and machine-learning technique
DM Awais, DM Shoaib - ACM Transactions on Asian and Low-Resource …, 2019 - dl.acm.org
In computational linguistics, sentiment analysis refers to the classification of opinions in a
positive class or a negative class. There exist a lot of different methods for sentiment …
positive class or a negative class. There exist a lot of different methods for sentiment …