Perspective: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science
A Agrawal, A Choudhary - Apl Materials, 2016 - pubs.aip.org
Our ability to collect “big data” has greatly surpassed our capability to analyze it,
underscoring the emergence of the fourth paradigm of science, which is datadriven …
underscoring the emergence of the fourth paradigm of science, which is datadriven …
Deep learning-based sentiment classification of evaluative text based on Multi-feature fusion
Sentiment analysis concerns the study of opinions expressed in a text. Due to the huge
amount of reviews, sentiment analysis plays a basic role to extract significant information …
amount of reviews, sentiment analysis plays a basic role to extract significant information …
Trading on twitter: Using social media sentiment to predict stock returns
Decision making is often based on the rational assessment of information, but recent
research shows that emotional sentiment also plays an important role, especially for …
research shows that emotional sentiment also plays an important role, especially for …
A hybrid approach to the sentiment analysis problem at the sentence level
The objective of this article is to present a hybrid approach to the Sentiment Analysis
problem at the sentence level. This new method uses natural language processing (NLP) …
problem at the sentence level. This new method uses natural language processing (NLP) …
Predicting the outcome of startups: less failure, more success
On an average 9 out of 10 startups fail (industry standard). Several reasons are responsible
for the failure of a startup including bad management, lack of funds, etc. This work aims to …
for the failure of a startup including bad management, lack of funds, etc. This work aims to …
Survey on data analysis in social media: A practical application aspect
Social media has more than three billion users sharing events, comments, and feelings
throughout the world. It serves as a critical information source with large volumes, high …
throughout the world. It serves as a critical information source with large volumes, high …
Sentiment and context-aware hybrid DNN with attention for text sentiment classification
A tremendous amount of unstructured data, such as comments, opinions, and other sorts of
data is generated in real-time with the growth of web 2.0. Due to the unstructured nature of …
data is generated in real-time with the growth of web 2.0. Due to the unstructured nature of …
A review on multi-lingual sentiment analysis by machine learning methods
S Sagnika, A Pattanaik… - Journal of …, 2020 - digitalcommons.isical.ac.in
The arrival of e-commerce and the multitude of information presented by the web have
established the internet as a principal destination for consumers looking for truthful opinions …
established the internet as a principal destination for consumers looking for truthful opinions …
Improved decisions for marketing, supply and purchasing: Mining big data through an integration of sentiment analysis and intuitionistic fuzzy multi criteria assessment
S Çalı, ŞY Balaman - Computers & Industrial Engineering, 2019 - Elsevier
This study proposes a novel decision support system for product ranking problems which
integrates multi criteria decision making (MCDM) and aspect level sentiment analysis …
integrates multi criteria decision making (MCDM) and aspect level sentiment analysis …
[HTML][HTML] A hybrid deep learning architecture for opinion-oriented multi-document summarization based on multi-feature fusion
Opinion summarization is a process to produce concise summaries from a large number of
opinionated texts. In this paper, we present a novel deep-learning-based method for the …
opinionated texts. In this paper, we present a novel deep-learning-based method for the …