Weakly supervised topic sentiment joint model with word embeddings
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 …
sentiment simultaneously from online reviews. Most of existing topic sentiment modeling …
A hybrid model of sentimental entity recognition on mobile social media
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 …
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 …
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
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 …
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
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 …
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 …
the violence index of user text, mining the internal correlation of network behaviors among …
[PDF][PDF] Topic Sentiment Joint Model with Word Embeddings.
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 …
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 …
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 …
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 …
are not an exception. One of the influential yet understudied tools for social media is a …