Weakly supervised topic sentiment joint model with word embeddings

X Fu, X Sun, H Wu, L Cui, JZ Huang - Knowledge-Based Systems, 2018 - Elsevier
Topic sentiment joint model aims to deal with the problem about the mixture of topics and
sentiment simultaneously from online reviews. Most of existing topic sentiment modeling …

A hybrid model of sentimental entity recognition on mobile social media

Z Wang, X Cui, L Gao, Q Yin, L Ke, S Zhang - EURASIP Journal on …, 2016 - Springer
With new forms of media such as Twitter becoming increasingly popular, the Internet is now
the main conduit of individual and interpersonal messages. A considerable amount of …

Emotion-cause span extraction: a new task to emotion cause identification in texts

M Li, H Zhao, H Su, YR Qian, P Li - Applied Intelligence, 2021 - Springer
Emotional cause identification (ECI) is an important task for emotion analysis, aiming to
identify the causes behind a certain emotion expressed in the text. Most of the previous …

Bigram feature extraction and conditional random fields model to improve text classification clinical trial document

J Jasmir, S Nurmaini, RF Malik… - … Electronics and Control), 2021 - telkomnika.uad.ac.id
In the field of health and medicine, there is a very important term known as clinical trials.
Clinical trials are a type of activity that studies how the safest way to treat patients is. These …

Bidirectional Long Short-Term Memory and Word Embedding Feature for Improvement Classification of Cancer Clinical Trial Document

J Jasmir, W Riyadi, SR Agustini, Y Arvita… - … (Rekayasa Sistem dan …, 2022 - jurnal.iaii.or.id
In recent years, the application of deep learning methods has become increasingly popular,
especially for big data, because big data has a very large data size and needs to be …

Community relations discovery methods for users in Fancircle based on sentiment analysis in China

K Wang - Data Technologies and Applications, 2024 - emerald.com
Purpose The identification of network user relationship in Fancircle contributes to quantifying
the violence index of user text, mining the internal correlation of network behaviors among …

[PDF][PDF] Topic Sentiment Joint Model with Word Embeddings.

X Fu, H Wu, L Cui - DMNLP@ PKDD/ECML, 2016 - Citeseer
Topic sentiment joint model is an extended model which aims to deal with the problem of
detecting sentiments and topics simultaneously from online reviews. Most of existing topic …

Machine Learning Approach To Forecast the Word in Social Media

R Vijaya Prakash - Social Network Analysis: Theory and …, 2022 - Wiley Online Library
Forecasting is one of machine learning's most significant features. In machine learning,
forecasting issues are classified as supervised learning algorithms. Label or target data …

[PDF][PDF] Deep Learning for Unearthing Emotions in Twitter: A Hybrid Emotional Recognition Model

A Raj, V Kumar, D Chaudhary - Defence Science Journal, 2024 - core.ac.uk
With the intensification of new classes of media such as Twitter, the Internet has become a
primary route for individual and interpersonal messaging. Many individuals share their …

Hashtag Marketing and Indian brands–Sentiment Exploration

R Srivastava - International Journal of Innovative Technology and …, 2019 - papers.ssrn.com
Social Media continues to impact the marketing campaign in a big way, and Indian brands
are not an exception. One of the influential yet understudied tools for social media is a …