Review Articles · Open access
A Combination Study Of Multiple Sentiment Analysis Using Artificial Intelligence
Abstract
Sentiment analysis is a form of NLP that determines whether data is positive, neutral or negative. Emotion extraction, Opinion mining and trend prediction all benefit from sentiment analysis. We read some papers that sentiment analysis is used in different ways like aspect based. A small amount of work has been done in sentiment analysis in Bangla. In this survey paper represents the comparison of emotion in sentiment analysis. There are very little works in sentiment analysis in Bengali language. Recently Covid -19 problem as people are in lockdown, they cannot shop in physically so online is the better solution for this problem. People are highly attracted online platform at that moment. People benefit from online product service providers, but it also raises concerns about product quality and service. It is another sentiment analysis platform. Sentiment analysis is a process that the user opinions and views against any service or a product. YouTube is one of the most popular Video sharing platforms obtaining millions of views. So YouTube is also another sentiment analysis platform. There has been a lot of work in the sentiment analysis sector with deep learning, NLP,Machine learning.
Keywords
Cite this paper
Choose a citation style, then copy the formatted reference for your manuscript or academic record.
Sarna, I. J., Samajdar, P., & Farhat, S. L. (2023). A Combination Study Of Multiple Sentiment Analysis Using Artificial Intelligence. International Journal of Advanced Scientific Discoveries, 1(1), online first. https://doi.org/10.66917/ijasd.a000001
Sarna, Ismot Jahan, et al. “A Combination Study Of Multiple Sentiment Analysis Using Artificial Intelligence.” International Journal of Advanced Scientific Discoveries, vol. 1, no. 1, 2023, pp. online first. doi:10.66917/ijasd.a000001
Sarna, Ismot Jahan, Projna Samajdar, and Syeda Lamima Farhat. “A Combination Study Of Multiple Sentiment Analysis Using Artificial Intelligence.” International Journal of Advanced Scientific Discoveries 1(1) (2023): online first. https://doi.org/10.66917/ijasd.a000001
Sarna, I. J.; Samajdar, P.; Farhat, S. L. (2023) ‘A Combination Study Of Multiple Sentiment Analysis Using Artificial Intelligence’, International Journal of Advanced Scientific Discoveries, 1(1), pp. online first. doi:10.66917/ijasd.a000001
BibTeX
@article{msisijasd-a000001,
title = {A Combination Study Of Multiple Sentiment Analysis Using Artificial Intelligence},
author = {Ismot Jahan Sarna and Projna Samajdar and Syeda Lamima Farhat},
journal = {International Journal of Advanced Scientific Discoveries},
year = {2023},
volume = {1},
number = {1},
doi = {10.66917/ijasd.a000001}
}Related articles
Browse this journal
IJASD
Sentiment Analysis Via Applied Machine Learning Algorithms From Honda Review Data
The reason behind this analytic debris is to evaluate the review data about the motorcycle Honda unicorn 150cc.Honda motor company ltd. is a Japanese public transport manufacturing organization which has their headquarters located in Minato, Tokyo, Japan. This work is allocated to contradict the review which is based on real time comments taken from the review session. Opinion mining or Emotion Artificial intelligence is a present formed field where the machine learning algorithms are used for the analysis of the information gathered from people’s real time opinions. The purpose behind this work is to predict the given motorcycles user satisfaction and negative opinions. The collected from “mouthshut.com”. Then the dataset was optimized and manually labeled and optimized for further analysis procedures. So, by our analysis we have accomplished our results about public inspections and comments which represents their thoughts on the model’s basics, this result of ours can be used in the sole purpose the company's upcoming motorcycle upgrades, modifications and overcoming motorcycles predicaments venture.
IJASD
Ai Explainability In Insurance Applications With Telematics Data
This paper describes a step-by-step process of creating an insurance-based application that predicts insurance premium using Artificial Intelligence (AI) method of machine learning (ML). Artificial Intelligence technologies will have a high impact on all aspects of the insurance industry, from distribution to underwriting and pricing to claims. Nowadays, AI is being used in insurance claims processing, underwriting, fraud detection, anomaly detection and customer service. In this research paper, we are going to predict a driver's premium charges based on the driver's driving behavior. Here, we used telematics, machine learning, and deep learning technologies for predicting the insurance premium cost in the auto insurance space. In this research journey, we propose a hybrid framework architecture with multiple combinations of Supervised Learning (LR, DS, RFR and SVM) Algorithms and interpretability of AI model.
IJASD
One Year Descriptive Analysis Of Reported Animal Bite Cases At Techiman Municipality Of Ghana
Background: Rabies is a fatal but preventable zoonotic viral disease of the central nervous system. In developed countries, rabies is mostly found in wild animals like bats, but the developing countries like Ghana, dogs still carry rabies, and most rabies deaths in people around the world are caused by dog bites. There are limited studies on rabies in the Techiman Municipality, Bono East Region of Ghana. The current study focuses on the incidence of bites and resultant rabies infectivity, management and control in Techiman South Municipality. The objective of this study is to detect the gaps in rabies control and prevention practices while providing information for mass education. Methods: The study design was cross-sectional with Excel Format for the sample collection from the two departments under Veterinary Service Directorate in Techiman that is Disease Investigation Farm (DIF)/Regional Veterinary Laboratory (RVL) and the Municipal Veterinary Clinic (MVC) all in Techiman. In all, 163 reported cases were collected. Data on dog bites and rabies cases in Bono East Region from January to December 2022 were also analysed. Results: One hundred and Sixty-three (163) cases of animal bites were reported from January to December 2022. The majority of the animals involved were dogs which were 158 representing 96.93% and 73.61% of dogs were not vaccinated. Complete data were available for 157 completed cases. The age range of reported cases was 11months-83 years with few unknown ages. Nearly twenty-five percent (24.54%) were children under 10 years, the majority being males representing 47.85% but slightly above females representing 47.23%. All cases of animal bites were reported first to health facilities before they referred to veterinary facilities. There was a rapid increase of reported cases in the last quarter of 2022 83/163. Recommendation: Ghana Health Service and VSD operated independent systems of zoonotic disease reporting, collected very different sets of information and did not have a common platform for data sharing and reconciliation. This needs to be addressed to ensure better disease information collection, management and dissemination. Animals suspected of having rabies on dying have their brain tissue examined at KCCR as DIF/RVL not having the standard equipment for rabies diagnosis. This calls for upgrading the DIF/RVL and also further improvement in the skills and/or equipment for rabies detection at DIF/RVL. This was the reason why most of the samples were not able to be summited to KCCR due to the high cost of transportation to Kumasi.
IJASD
Irradiation Deactivation Of Anti-Nutritional Factors In Moringa Oleifera Seeds For Meat Chicken
Phytochemical composition and deactivation of anti-nutritional factors in Moringa oleifera seeds (MOS) to replace soybeans in diet for chicks were investigated. 5-experimental diets were formulated and fed to 180 -Arbor Acre broiler chicks at hatch over a feeding trial lasting 56-days. Each dietary treatment contained 3-replicates of 36-chicks. The diets were made of a control diet1 (free of MOS), a negative control diet 2 containing 5% MOS and 3 other diets 3, 4 and 5 containing 5% gamma-irradiated Moringa oleifera Seed Meal (GIMOSM) at graded doses of 10, 30 and 50kGy respectively. The experiment followed a one -way classification design. Chemical analysis of the raw seed gave valuable amounts of nutrients as well as anti-nutrients which presence could elicit health hazards when consumed in diet in certain amount. Results on performance traits, nutrient digestibility (crude protein, fat and fibre) gave poor results in the negative/raw MOS control diet (p < 0.05) compared to the control and GIMOSM diets. GIMOSM diets improved (p < 0.05) haematological (PCV, RBC, HB) and biochemical (urea, AST, ALT, ALP) parameters measured in broiler nutrition. Findings of this study showed that the detrimental effect induce by the anti-nutrients present in the raw MOS on the measured biological parameters were reversed to good by g-irradiation treatment. It is suggested that MOS meal be treated at 10kGy level to safely detoxify its anti-nutritional and/or toxic factors for optimum use in poultry nutrition.