CoV2eX: A COVID-19 Website with Region-wise Sentiment Classification using the Top Trending Social Media Keywords

Rajmohan, Akshay; Ravi, Akash; Aakash, K O; Adarsh, K; Raj, Anjuna D.; Anjali, T

doi:10.1109/wispnet51692.2021.9419415

Cited by 6 publications

(2 citation statements)

References 11 publications

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“…The TF-IDF vectorizer also gives weight to the way in which words appear in the document so that the resulting matrix is better [29]. As for count-vectorizer only counts how often a word appears in a document which often results in bias for other words [30]. This algorithm tends to ignore unique words that can help increase effectiveness in data processing.…”

Section: Fig 2 Visualization Of Trial Resultsmentioning

confidence: 99%

Letter Detection : An Empirical Comparative Study of Different ML Classifier and Feature Extraction

2023

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Work and communication activities are inextricably linked. Letters are an example of a communication medium that is still widely utilized. When it comes to significant job, however, simply an official letter is required. Official and private letters must be distinguished and classified. Different feature extraction methods, such as the count-vectorizer and TF-IDF vectorizer, are employed to transmit the detection of this official and personal letter. To categorize letters by type, various machine learning (ML) techniques are employed. Nave Bayes, Support vector machine, and AdaBoost are the algorithms. The accuracy measurements used in this study include accuracy scores, F1-mean, recall, and precision. The best working algorithm is Naïve Bayes for two vectorizer methods used, with an accuracy value of 98%.

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Section: Fig 2 Visualization Of Trial Resultsmentioning

confidence: 99%

Letter Detection : An Empirical Comparative Study of Different ML Classifier and Feature Extraction

2023

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“…Social media information usually reflects the people's sentiment caused due to the psychological impact of Covid-19. Cov2eX [3] uses Our work is primarily centered around maximizing the production of vaccine subject to dependencies and constraints. This is pretty similar to resource allocation.…”

Section: Comparison With Related Workmentioning

confidence: 99%

An Optimal Algorithm to Maximize Vaccine Production in a Distributed Environment

Saran

Vignesh

Sundar

et al. 2021

2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)

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Pandemics have a devastating effect on lives across the globe as evinced by the ongoing COVID-19. Production of vaccine, medicines and other critical supplies such as oxygen are indispensable and are to be expedited. This work examines the problem of maximizing the manufacturing of critical supplies within a target stipulated time by various manufacturing units. Two scenarios are considered in vaccine production: centralized and distributed. In the former case, the manufacturing units are closely located and transport the raw materials with no delay. In the latter case, the units are located geographically apart and transport of raw materials takes a finite time causing delays in vaccine production. The main contribution of the paper lies in the elucidation of optimal algorithms for both scenarios that take the dependencies between the ingredients into consideration. The dependencies have a constraining effect on the order of manufacturing of both the raw materials and the end products referred to as targets and hence careful consideration is necessary to maximize production. The optimality is measured by an incentive-based scheme that seeks to reward the faster development of targets.

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Analysis of Traditional Quyi Emotion Classification Algorithm Driven by Deep Belief Network

2022

Application of Intelligent Systems in Multi-Modal Information Analytics

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CoV2eX: A COVID-19 Website with Region-wise Sentiment Classification using the Top Trending Social Media Keywords

Cited by 6 publications

References 11 publications

Letter Detection : An Empirical Comparative Study of Different ML Classifier and Feature Extraction

Letter Detection : An Empirical Comparative Study of Different ML Classifier and Feature Extraction

An Optimal Algorithm to Maximize Vaccine Production in a Distributed Environment

Analysis of Traditional Quyi Emotion Classification Algorithm Driven by Deep Belief Network

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