Climate change sentiment analysis using lexicon, machine learning and hybrid approaches
The emissions of greenhouse gases, such as carbon dioxide, into the biosphere have the
consequence of warming up the planet, hence the existence of climate change. Sentiment …
consequence of warming up the planet, hence the existence of climate change. Sentiment …
Climate change sentiment analysis using lexicon, machine learning and hybrid approaches
The emissions of greenhouse gases, such as carbon dioxide, into the biosphere have the
consequence of warming up the planet, hence the existence of climate change. Sentiment …
consequence of warming up the planet, hence the existence of climate change. Sentiment …
ICC T20 Cricket World Cup 2020 winner prediction using machine learning techniques
Predicting future sounds like magic, whether it be detecting, in advance, the intent of a
potential customer to purchase company's products or figuring out where the price of a stock …
potential customer to purchase company's products or figuring out where the price of a stock …
Count me too: Sentiment analysis of roman sindhi script
Social media has given voice to people around the globe. However, all voices are not
counted due to the scarcity of lexical computational resources. Such resources could …
counted due to the scarcity of lexical computational resources. Such resources could …
Google maps data analysis of clothing brands in south punjab, pakistan
The Internet is a popular and first-hand source of data about products and services. Before
buying a product, people try to gain quick insight by scanning through online reviews about …
buying a product, people try to gain quick insight by scanning through online reviews about …
[PDF][PDF] An effective framework for tweet level sentiment classification using recursive text pre-processing approach
With around 330 million people around the globe tweet 6000 times per second to express
their feelings about a product, policy, service, or an event. Twitter message majorly consists …
their feelings about a product, policy, service, or an event. Twitter message majorly consists …
Xtractor: A Two-Step Tweet Extractor for Sentiment Analysis
Twitter (now X) has been gaining popularity with each passing day since its inception in
2006. People have been using Twitter as an instant repository to collect data and gain …
2006. People have been using Twitter as an instant repository to collect data and gain …
Challenges and prospects for data-driven climate change mitigation
LH Kaack - 2019 - search.proquest.com
Successful climate change mitigation will require data-driven decision making, but the field
faces a diverse set of challenges. In this dissertation, I provide three examples that illustrate …
faces a diverse set of challenges. In this dissertation, I provide three examples that illustrate …
Machine learning-based Fake reviews detection with amalgamated features extraction method
Product fake reviews are increasing as the trend is changing toward online sales and
purchases. Fake review detection is critical and challenging for both researchers and online …
purchases. Fake review detection is critical and challenging for both researchers and online …
Extraction of Numerical data from Categorical Data Set and Artificial Neural Networks
AH Bacaksız, E Esgin - 2019 3rd International Symposium on …, 2019 - ieeexplore.ieee.org
In this study, the need for numerical data which is required for the machine learning
techniques is considered. In order to classify a categorical data by multilayer perceptron …
techniques is considered. In order to classify a categorical data by multilayer perceptron …