Sentiment analysis for Indian stock market prediction using Sensex and nifty
A Bhardwaj, Y Narayan, M Dutta - Procedia computer science, 2015 - Elsevier
From the last twenty years, the application of Internet based technologies had brought a
significant impact on the Indian stock market. Use of the Internet has eliminated the barriers …
significant impact on the Indian stock market. Use of the Internet has eliminated the barriers …
The``Colonial Impulse" of Natural Language Processing: An Audit of Bengali Sentiment Analysis Tools and Their Identity-based Biases
While colonization has sociohistorically impacted people's identities across various
dimensions, those colonial values and biases continue to be perpetuated by sociotechnical …
dimensions, those colonial values and biases continue to be perpetuated by sociotechnical …
Hierarchical classification in text mining for sentiment analysis of online news
Sentiment analysis in text mining is a challenging task. Sentiment is subtly reflected by the
tone and affective content of a writer's words. Conventional text mining techniques, which …
tone and affective content of a writer's words. Conventional text mining techniques, which …
An intelligent model based on integrated inverse document frequency and multinomial Naive Bayes for current affairs news categorisation
Digital technologies, their product and services have empowered the masses to generate
information at a faster pace. Digital technologies based information sharing platforms such …
information at a faster pace. Digital technologies based information sharing platforms such …
A framework for aspect based sentiment analysis on turkish informal texts
The web provides a suitable media for users to share opinions on various topics, including
consumer products, events or news. In most of such content, authors express different …
consumer products, events or news. In most of such content, authors express different …
[PDF][PDF] Sentiment analysis, visualization and classification of summarized news articles: a novel approach
S Urologin - … Journal of Advanced Computer Science and …, 2018 - pdfs.semanticscholar.org
Due to advancement in technology, enormous amount of data is generated every day. One
of the main challenges of large amount of data is user overloaded with huge volume of data …
of the main challenges of large amount of data is user overloaded with huge volume of data …
Polarity detection of online news articles based on sentence structure and dynamic dictionary
The importance of online news article has evolved notably with the advancement of
information and technology. However, some of the news are violent as well as obnoxious …
information and technology. However, some of the news are violent as well as obnoxious …
Developing Hybrid Deep Learning Models for Stock Price Prediction Using Enhanced Twitter Sentiment Score and Technical Indicators
N Das, B Sadhukhan, R Ghosh, S Chakrabarti - Computational Economics, 2024 - Springer
In recent years, there has been growing interest in using deep learning methods to improve
the accuracy of stock price prediction, which has always been challenging due to the …
the accuracy of stock price prediction, which has always been challenging due to the …
Hierarchical classification in text mining for sentiment analysis
Sentiment analysis in text mining is known to be a challenging task. Sentiment is subtly
reflected by the tone, affective state or emotion of a writer's expression in words …
reflected by the tone, affective state or emotion of a writer's expression in words …
Sentiment analysis of news headlines using simple transformers
A Singh, G Jain - 2021 Asian Conference on Innovation in …, 2021 - ieeexplore.ieee.org
With the rate at which the data is being generated, it is vital to use it and get some insights
from it. When reporting on events, news expresses the opinions of news entities like people …
from it. When reporting on events, news expresses the opinions of news entities like people …