scholarly journals An Enhanced Technique for Analyzing Sentiments of Public Reviews - II

2019 ◽  
Vol 5 (6) ◽  
pp. 7-13
Keyword(s):  
Sentiment Analysis ◽  
Classification Accuracy ◽  
Graphical Representation ◽  
Second Phase ◽  
The Public ◽  
Third Phase ◽  
Negation Detection ◽  
Sentiment Score ◽  
Parameter Values ◽  
Previous Phase

Enhnaced Dual Sentiment Analysis (EDSA) is an improved system which enhances the performance of the existing Dual Sentiment Analysis (DSA) which is implemented in literature. It mainly focuses on improving the efficiency of the existing system by making some modifications to the existing DSA approach. EDSA improves the classification accuracy of the public reviews. Apart from the classification accuracy other parameters considered in EDSA are precision, recall and fmeasure. In the first phase, a data pre-processing is performed to clean the data where subjectivity analysis is performed to obtain the subjective reviews and sentiment analysis is performed on subjective reviews only. Second phase deals with negation detection and sentiment word sreversal to obtain the reversed reviews. Third phase performs polarity calculation on the original and reversed reviews to obtain positive and negative reviews based on sentiment score of the reviews. Fourth phase performs the enhanced dual training and prediction where the positive and negative reviews are provided to various classifiers which provides the final results as the output. Final phase is the graphical representation of the various parameter values obtained from the previous phase which helps in comparing the results of the various classifiers

scholarly journals Contributions to Driver Fatigue Detection Based on Eye-tracking

2021 ◽  
Vol 15 ◽  
pp. 1-7
Author(s):  
Ana-Maria Băiașu ◽  
Cătălin Dumitrescu
Keyword(s):  
Eye Tracking ◽  
Traffic Accidents ◽  
Second Phase ◽  
Road Accidents ◽  
Time Intervals ◽  
Alarm Signal ◽  
Third Phase ◽  
Fatigue Detection ◽  
Previous Phase ◽  
Continue Monitoring

In recent years, one of the most important factors in road accidents is the drowsiness of drivers and the distraction while driving. In this paper, we describe a system that monitors the detection of fatigue or drowsiness. The proposed solutions follow the driver's gaze, and if the system identifies the closed eyes, it triggers an alarm signal intended to alert against losing control of the car and causing traffic accidents. Eye-tracking is the process that measuring the eye position and eye movement. The proposed method is structured in three phases. In the first phase, eye images are captured at constant time intervals and converted into grayscale images. In the second phase these images are fed to Haar algorithm to identify the driver eyes. In the third phase, based on the previous phase the system can now take action to continue monitoring or trigger alarm to alert the driver if the drowsiness has been detected.

scholarly journals Science and Society an Overview of the Problem

2021 ◽  
pp. 1-14
Author(s):  
Frank Miedema
Keyword(s):  
World War Ii ◽  
Science And Technology ◽  
Well Being ◽  
Human Condition ◽  
Second Phase ◽  
Science And Society ◽  
The Public ◽  
Third Phase ◽  
Time Periods ◽  
Societal Problems

AbstractScience in the recent past promised to society to contribute to the grand challenges of the United Nations, UNESCO, WHO, the EU agenda and national agendas for change and improvement of our life, the human condition. In this chapter it will be briefly discussed how this social contract between science and society has developed since 1945. In the context of this book I distinguish three time periods, but I do realize slightly different time periods may be preferred, based on the perspective taken. The first phase from 1945 till 1960 is characterized by autonomy, building on the successes of the natural sciences and engineering in World War II. In the second phase, the late sixties till approximately 1980, government and the public lost trust and saw the downside of science and technology. The response from politics and the public was to call for societal and political responsible research inspired by broader socio-political developments in society. The third phase from 1990 till 2010 was one of renewed enthusiasm and hope that science and technology would bring economic growth, which should make nations internationally competitive. There increasingly was also room for societal problems related to environment and sustainability, health and well-being. In this approach of the so-called knowledge economy, with the world-wide embracing of neoliberal politics, strong relations with government and the private sector were established. This was accompanied by short-term accountability, control from government and funders at the level of project output, using accordingly defined metrics and indicators. Because of this, this model became firmly and globally institutionalized.

scholarly journals The Pasts, Presents and Futures of AIDS, Norway (1983–1996)

2020 ◽  
Author(s):  
Ketil Slagstad
Keyword(s):  
Second Phase ◽  
Positive Perception ◽  
Temporal Perspective ◽  
Medical Progress ◽  
The Public ◽  
The Past ◽  
Aids Epidemic ◽  
Third Phase ◽  
History Of ◽  
Public Imagination

Summary This article explores the Norwegian AIDS epidemic from a temporal perspective. It argues that interrogating the epidemic’s tempos and rhythms provides useful tools in writing the history of an epidemic by drawing on a wide array of material from its first decade. By using various theories of temporality and chronology, this article maps out three phases of the Norwegian AIDS epidemic. In the first phase (1983–85), the emergence of the first cases of AIDS threw the positive perception of medicine’s past into question and fundamentally challenged the notion of incessant medical progress. In the second phase (1985–87), as grim epidemiological prognoses were created and the general population was increasingly targeted, panic grew across Norwegian society. In the third phase (1987–96), as it was slowly realised that the initial prognoses would not materialise, the epidemic faded from the public imagination. With the unremembering of AIDS, HIV was turned into a chronic disease. The article argues that analysing past temporalities, like past pasts and past futures, provides insights into the presents of the past.

Method to Rank Academic Institutes by the Sentiment Analysis of Their Online Reviews

2020 ◽  
pp. 1-26
Author(s):  
Simran Sidhu ◽  
Surinder Singh Khurana
Keyword(s):  
Sentiment Analysis ◽  
Public Perception ◽  
Online Reviews ◽  
Online Review ◽  
University Rankings ◽  
Ranking List ◽  
The Public ◽  
Social Media Platforms ◽  
Good Potential ◽  
Sentiment Score

A large number of reviews are expressed on academic institutes using the online review portals and other social media platforms. Such reviews are a good potential source for evaluating the Indian academic institutes. This chapter aimed to collect and analyze the sentiments of the online reviews of the academic institutes and ranked the institutes on the basis of their garnered online reviews. Lexical-based sentiment analysis of their online reviews is used to rank academic institutes. Then these rankings were compared with the NIRF PR Overall University Rankings List 2017. The outcome of this work can efficiently support the overall university rankings of the NIRF ranking list to enhance NIRF's public perception parameter (PRPUB). The results showed that Panjab University achieved the highest sentiment score, which was followed by BITS-Pilani. The results highlighted that there is a significant gap between NIRF's perception rankings and the perception of the public in general regarding an academic institute as expressed in online reviews.

scholarly journals Analyzing Public Concern Responsesfor Formulating Ordinances and Lawsusing Sentiment Analysis through VADER Application

2022 ◽  
Vol 6 ◽  
pp. 842-856
Author(s):  
Charles Alfred Cruz ◽  
◽  
Francis Balahadia ◽  
Keyword(s):  
Sentiment Analysis ◽  
Graphical Representation ◽  
Native Language ◽  
Public Concern ◽  
Evaluation Result ◽  
The Public ◽  
Additional Tool ◽  
Government Services ◽  
Community Recommendations ◽  
Testing And Evaluation

Purpose–Thispaperaimed to develop a system that applies VADER Sentiment Analysis to tweets collected using adevelopedtwitter scraper toolto identify the insights of public responsesbased on their tweetson certain government servicesrendered to them thus providing legislators of the province of Laguna an additional tool in writing future legislations.Method–This study may serve as an additional tool tothe Sangguniang Panlalawigan of Laguna in identifying sentiments of the public in terms of government services that are rendered and lack thereof based on the collected tweets written in Tagalog, English or Taglish(Tagalog and English).Data collected through the Twitter scraper tool are preprocessed taking into consideration the special characters that also have impact on scoring sentiments, emojis,and emoticons. The compound score is computed by normalizing the sum of the polarityscores foreach tweet.Results–Aside from a tabular visualization of VADER’s results, the system also provides graphical representation of the evaluation result with the percentage of positive neutral and negative tweets. Based on the result of the testing and evaluation, the VADER model is 80.71% accurate and had an F-score of 84.33%.Conclusion–The reports generated from the system be utilized to serve as potentially additional basis for legislators of the province of Laguna in writing legislations such as resolutions and ordinances based on the sentiment or voice of the community. Recommendations–It is recommended to collaborate with linguists to develop a native language of VADER’s lexicon to improve the accuracy of the sentiment scores.

The Public Debate about Animal Experimentation

1995 ◽  
Vol 23 (3) ◽  
pp. 312-316
Author(s):  
Mark Matfield
Keyword(s):  
Public Attitudes ◽  
Animal Experimentation ◽  
Second Phase ◽  
The Public ◽  
The Third ◽  
Third Phase ◽  
The Three Rs ◽  
Part Model

The nature of campaigning against animal experimentation and its effects on public opinion and laboratory animal welfare are examined. A three-part model is proposed in which the activities of campaigning groups form the motivation phase which, in some circumstances, can produce the second phase: change of public attitudes. This leads to the third phase: making the change, in which the animal researchers, technicians and veterinarians change their practice. The role of organisations promoting the Three Rs is incorporated by viewing their role as catalysing the progression through the three phases. Some of the consequences of this model for the development of in vitro alternatives are examined.

Listening for the “Still Small Voice” of Mendelssohn’s Domestic Elijah

2015 ◽  
Vol 32 (1) ◽  
pp. 40-77
Author(s):  
Peter Mercer-Taylor
Keyword(s):  
Second Phase ◽  
Divine Presence ◽  
Final Phase ◽  
Public And Private ◽  
The Public ◽  
The Third ◽  
Interpretive Approach ◽  
Will To Live ◽  
Three Phases

The notion that there might be autobiographical, or personally confessional, registers at work in Mendelssohn’s 1846 Elijah has long been established, with three interpretive approaches prevailing: the first, famously advanced by Prince Albert, compares Mendelssohn’s own artistic achievements with Elijah’s prophetic ones; the second, in Eric Werner’s dramatic formulation, discerns in the aria “It is enough” a confession of Mendelssohn’s own “weakening will to live”; the third portrays Elijah as a testimonial on Mendelssohn’s relationship to the Judaism of his birth and/or to the Christianity of his youth and adulthood. This article explores a fourth, essentially untested, interpretive approach: the possibility that Mendelssohn crafts from Elijah’s story a heartfelt affirmation of domesticity, an expression of his growing fascination with retiring to a quiet existence in the bosom of his family. The argument unfolds in three phases. In the first, the focus is on that climactic passage in Elijah’s Second Part in which God is revealed to the prophet in the “still small voice.” The turn from divine absence to divine presence is articulated through two clear and powerful recollections of music that Elijah had sung in the oratorio’s First Part, a move that has the potential to reconfigure our evaluation of his role in the public and private spheres in those earlier passages. The second phase turns to Elijah’s own brief sojourn into the domestic realm, the widow’s scene, paying particular attention to the motivations that may have underlain the substantial revisions to the scene that took place between the Birmingham premiere and the London premiere the following year. The final phase explores the possibility that the widow and her son, the “surrogate family” in the oratorio, do not disappear after the widow’s scene, but linger on as “para-characters” with crucial roles in the unfolding drama.

PENERAPAN MODEL QUANTUM LEARNING UNTUK MENINGKATKAN HASIL BELAJAR AUTOCAD SISWA KELAS X TEKNIK PEMESINAN SMK NEGERI 1 STABAT

2013 ◽  
Vol 5 (1) ◽  
Author(s):  
Abdul Hasan Saragih
Keyword(s):  
Positive Response ◽  
Phase 1 ◽  
First Grade ◽  
Learning Model ◽  
Second Phase ◽  
Phase 2 ◽  
Phase 3 ◽  
The Third ◽  
Third Phase ◽  
Quantum Learning

This classroom research was conducted on the autocad instructions to the first grade of mechinary class of SMK Negeri 1 Stabat aiming at : (1) improving the student’ archievementon autocad instructional to the student of mechinary architecture class of SMK Negeri 1 Stabat, (2) applying Quantum Learning Model to the students of mechinary class of SMK Negeri 1 Stabat, arising the positive response to autocad subject by applying Quantum Learning Model of the students of mechinary class of SMK Negeri 1 Stabat. The result shows that (1) by applying quantum learning model, the students’ achievement improves significantly. The improvement ofthe achievement of the 34 students is very satisfactory; on the first phase, 27 students passed (70.59%), 10 students failed (29.41%). On the second phase 27 students (79.41%) passed and 7 students (20.59%) failed. On the third phase 30 students (88.24%) passed and 4 students (11.76%) failed. The application of quantum learning model in SMK Negeri 1 Stabat proved satisfying. This was visible from the activeness of the students from phase 1 to 3. The activeness average of the students was 74.31% on phase 1,81.35% on phase 2, and 83.63% on phase 3. (3) The application of the quantum learning model on teaching autocad was very positively welcome by the students of mechinary class of SMK Negeri 1 Stabat. On phase 1 the improvement was 81.53% . It improved to 86.15% on phase 3. Therefore, The improvement ofstudent’ response can be categorized good.

Algorithm Comparation of Naive Bayes and Support Vector Machine based on Particle Swarm Optimization in Sentiment Analysis of Freight Forwarding Services

2020 ◽  
Vol 4 (2) ◽  
pp. 362-369
Author(s):  
Sharazita Dyah Anggita ◽  
Ikmah
Keyword(s):  
Support Vector Machine ◽  
Sentiment Analysis ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Support Vector ◽  
The Public ◽  
Svm Algorithm ◽  
Bayes Algorithm ◽  
Freight Forwarding ◽  
Improved Accuracy

The needs of the community for freight forwarding are now starting to increase with the marketplace. User opinion about freight forwarding services is currently carried out by the public through many things one of them is social media Twitter. By sentiment analysis, the tendency of an opinion will be able to be seen whether it has a positive or negative tendency. The methods that can be applied to sentiment analysis are the Naive Bayes Algorithm and Support Vector Machine (SVM). This research will implement the two algorithms that are optimized using the PSO algorithms in sentiment analysis. Testing will be done by setting parameters on the PSO in each classifier algorithm. The results of the research that have been done can produce an increase in the accreditation of 15.11% on the optimization of the PSO-based Naive Bayes algorithm. Improved accuracy on the PSO-based SVM algorithm worth 1.74% in the sigmoid kernel.

Improving Sentiment Analysis using Hybrid Deep Learning Model

2020 ◽  
Vol 13 (4) ◽  
pp. 627-640 ◽  
Author(s):  
Avinash Chandra Pandey ◽  
Dharmveer Singh Rajpoot
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Sentiment Analysis ◽  
Classification Accuracy ◽  
Short Term Memory ◽  
Computational Cost ◽  
Extraction Process ◽  
Learning Model ◽  
Sentiment Classification ◽  
Deep Learning Model

Background: Sentiment analysis is a contextual mining of text which determines viewpoint of users with respect to some sentimental topics commonly present at social networking websites. Twitter is one of the social sites where people express their opinion about any topic in the form of tweets. These tweets can be examined using various sentiment classification methods to find the opinion of users. Traditional sentiment analysis methods use manually extracted features for opinion classification. The manual feature extraction process is a complicated task since it requires predefined sentiment lexicons. On the other hand, deep learning methods automatically extract relevant features from data hence; they provide better performance and richer representation competency than the traditional methods. Objective: The main aim of this paper is to enhance the sentiment classification accuracy and to reduce the computational cost. Method: To achieve the objective, a hybrid deep learning model, based on convolution neural network and bi-directional long-short term memory neural network has been introduced. Results: The proposed sentiment classification method achieves the highest accuracy for the most of the datasets. Further, from the statistical analysis efficacy of the proposed method has been validated. Conclusion: Sentiment classification accuracy can be improved by creating veracious hybrid models. Moreover, performance can also be enhanced by tuning the hyper parameters of deep leaning models.

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