Topic-level sentiment analysis of social media data using deep learning
Due to the inception of Web 2.0 and freedom to facilitate the dissemination of information,
sharing views, expressing opinions with regards to current world level events, services …
sharing views, expressing opinions with regards to current world level events, services …
Deep learning-based topic-level examination of Social Media
KK Ramachandran, A Perez-Mendoza… - … and Informatics (IC3I …, 2022 - ieeexplore.ieee.org
Due to its superior processing power in fields like text, picture, and audio processing, deep
learning (DL) is becoming more and more popular. The exponential growth and extensive …
learning (DL) is becoming more and more popular. The exponential growth and extensive …
Adaptive framework for deep learning based dynamic and temporal topic modeling from big data
Background: The large amount of data emanated from social media platforms need scalable
topic modeling in order to get current trends and themes of events discussed on such …
topic modeling in order to get current trends and themes of events discussed on such …
Contextual embedding for distributed representations of entities in a text corpus
Distributed representations of textual elements in low dimensional vector space to capture
context has gained great attention recently. Current state-of-the-art word embedding …
context has gained great attention recently. Current state-of-the-art word embedding …
Is a Picture Worth Ten Thousand Words in a Review Dataset?
RC Barranco, LM Rodriguez, R Urbina… - arXiv preprint arXiv …, 2016 - arxiv.org
While textual reviews have become prominent in many recommendation-based systems,
automated frameworks to provide relevant visual cues against text reviews where pictures …
automated frameworks to provide relevant visual cues against text reviews where pictures …
Enhancing yelp data with deep learning and information reuse
RC Barranco, LM Rodriguez, R Urbina… - … on Information Reuse …, 2017 - ieeexplore.ieee.org
Crowd-sourced reviews are used daily by potential customers to learn relevant information
about a business. While textual reviews have become prominent in many recommendation …
about a business. While textual reviews have become prominent in many recommendation …
[图书][B] Contextual representation of documents, entities, and faces of people using a news corpus
MA Kader - 2017 - search.proquest.com
A massive amount of unstructured data, in this information age, is composed of document
collections. Examples include news articles, blog posts, scholarly publications, and reports …
collections. Examples include news articles, blog posts, scholarly publications, and reports …