A Novel Approach towards Rating Free-Text Responses in Job Recruitment

Sarvesh Relekar; Sayak Ray

doi:10.5120/ijca2021921048

AI feel you: customer experience assessment via chatbot interviews

Journal of Service Management ◽

10.1108/josm-11-2019-0341 ◽

2020 ◽

Vol 31 (4) ◽

pp. 745-766

Author(s):

Karim Sidaoui ◽

Matti Jaakkola ◽

Jamie Burton

Keyword(s):

Cost Effective ◽

Customer Experience ◽

Business Success ◽

Free Text ◽

Measurement Scales ◽

Critical Determinant ◽

Content Type ◽

Service Companies ◽

Novel Approach

PurposeWhile customer experience (CE) is recognized as a critical determinant of business success, both academics and managers are yet to find a means to gain a comprehensive understanding of CE cost-effectively. The authors argue that the application of relevant AI technology could help address this challenge. Employing interactively prompted narrative storytelling, and the authors investigate the effectiveness of sentiment analysis (SA) on extracting valuable CE insights from primary qualitative data generated via chatbot interviews.Design/methodology/approachDrawing on a granular and semantically clear framework for studying CE feelings, an artificial intelligence (AI) augmented chatbot was designed. The chatbot interviewed a crowdsourced sample of consumers about their recalled service experience feelings. By combining free-text and closed-ended questions, the authors were able to compare extracted sentiment polarities against established measurement scales and empirically validate our novel approach.FindingsThe authors demonstrate that SA can effectively extract CE feelings from primary chatbot data. This findings also suggest that further enhancement in accuracy can be achieved via improvements in the interplay between the chatbot interviewer and SA extraction algorithms.Research limitations/implicationsThe proposed customer-centric approach can help service companies to study and better understand CE feelings in a cost-effective and scalable manner. The AI-augmented chatbots can also help companies to foster immersive and engaging relationships with customers. This study focuses on feelings, warranting further research on AI's value in studying other CE elements.Originality/valueThe unique inquisitive role of AI-infused chatbots in conducting interviews and analyzing data in realtime, offers considerable potential for studying CE and other subjective constructs.

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The epidemiology of heart failure in the general Australian community - Study of Heart failure in the Australian Primary carE setting (SHAPE): methods

10.21203/rs.2.17929/v1 ◽

2019 ◽

Author(s):

Richard Whaddon Parsons ◽

Danny Liew ◽

A Munro Neville ◽

Ralph G Audehm ◽

Deepak Haikerwal ◽

...

Keyword(s):

Heart Failure ◽

Primary Care ◽

Medical Records ◽

Care Setting ◽

Primary Care Setting ◽

Community Setting ◽

Annual Incidence ◽

Free Text ◽

Novel Approach ◽

Australian Community

Abstract Background: There is a paucity of information on the epidemiology of heart failure (HF) in Australia. The Study of Heart failure in the Australian Primary carE setting (SHAPE) study aims to estimate the prevalence and annual incidence of HF in the general Australian community and to describe the demographic and key clinical profile of Australians with HF. Methods: We undertook a retrospective cohort study based on analysis of non-identifiable medical records of adult patients cared for at 43 general practices between 1 July 2013 and 30 June 2018. Data were extracted from coded (diagnosis, pathology and prescription fields) and uncoded fields (clinical notes) in the medical records. The latter searches of free text looked for common synonyms relevant to HF. The population was stratified into three groups based on a hierarchy of selection criteria: (1) definite HF, (2) probable HF and (3) possible HF. The prevalence and annual incidence of HF were calculated, along with 95% confidence intervals. Results: The practices provided care to 2.3 million individual patients over the five-year study period, of whom 1.93 million were aged 18 years and above. Of these patients 16,930 were classified as having ‘definite HF’, 4873 as having ‘probable HF’ and 36,517 as having ‘possible HF’. A further 40,992 were identified as having an aetiological condition associated with HF. These estimates accord with findings in similar populations from other countries. Among ‘active patients’ (regular attenders of a practice), the crude prevalence of HF was 1.813% (95%CI:1.79–1.84%), and the age-standardised prevalence was 2.199% (95%CI:2.168-2.23%). The annual incidence was 0.291% (95%CI:0.286–0.296%), and the age-standardised annual incidence was 0.348% (95%CI:0.342–0.354%). The estimates of prevalence and incidence suggest that almost 420,000 people were living with HF in Australia in 2017, and over 66,000 new cases of HF occurred that year. Conclusions: This novel approach to undertaking retrospective research of primary care data successfully analysed a combination of coded and uncoded data from the electronic medical records of patients routinely managed in the GP setting. SHAPE is the first real-world study of the epidemiology of HF in the general Australian community setting.

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Breakfast Education Sessions - a novel approach to learning

Irish Journal of Paramedicine ◽

10.32378/ijp.v3i2.125 ◽

2018 ◽

Vol 3 (2) ◽

Author(s):

Ian Brennan ◽

Dermot Doherty ◽

Anne McCabe

Keyword(s):

Critical Care ◽

Learning Environment ◽

Multidisciplinary Team ◽

Team Building ◽

Continuing Professional Development ◽

Clinical Work ◽

Ambulance Service ◽

Free Text ◽

Novel Approach ◽

Medical Teams

IntroductionThe need for continuing professional development is well recognized and is supported by professional bodies in all healthcare disciplines. It can be difficult to access CPD for those who work shift. AimsTo create a multidisciplinary learning environment within a National Ambulance Service (NAS) station. To describe the participants responses to the education sessions by the participants of the sessions: on whether they thought they were helpful, they learned anything and if they thought it contributed towards team building. MethodsThe National Transport Medicine Programme (NTMP) has recently become a service within the National Ambulance Service (NAS), under the new name of the NAS Critical Care & Retrieval Services (NASCCRS). This service is responsible for transporting critically ill neonates, children & adults with a multidisciplinary team. The Breakfast education sessions were planned a number of months in advance with the purpose of creating a multidisciplinary learning environment. The sessions lasted for no more than 1 hour from 730am-830am once a month. The sessions often focused on topics that the teams encountered during their clinical work. The sessions were also started to further enhance and build the multidisciplinary team combining of the NAS staff and the NASCCRS medical teams. The participants were sent a questionnaire to assess their attitudes towards the sessions. ResultsThe majority of the participants (78%) were very satisfied with the sessions, they thought they were educational, useful and inclusive. All of the participants believed it was a very well or extremely well way of building a multidisciplinary team, and 67% will use these sessions for their CPD. All free text comments were positive and encouraged more of these type of sessions. ConclusionsThe breakfast education sessions created by the team at the National Ambulance Service Critical Care & Retrieval Services are a novel idea to learn, build teams and more importantly eat breakfast! We plan to extend the sessions with a view to streaming them in the future.

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Topological Signature of 19th Century Novelists: Persistence Homology in Context-Free Text Mining

10.20944/preprints201809.0466.v1 ◽

2018 ◽

Cited By ~ 1

Author(s):

Shafie Gholizadeh ◽

Armin Seyeditabari ◽

Wlodek Zadrozny

Keyword(s):

Text Mining ◽

Text Classification ◽

State Of The Art ◽

Text Processing ◽

Persistent Homology ◽

Topological Data Analysis ◽

Free Text ◽

Novel Approach ◽

Processing Algorithms ◽

Context Free

Topological Data Analysis (TDA) refers to a collection of methods that find the structure of shapes in data. Although recently, TDA methods have been used in many areas of data mining, it has not been widely applied to text mining tasks. In most text processing algorithms, the order in which different entities appear or co-appear is being lost. Assuming these lost orders are informative features of the data, TDA may play a significant role in the resulted gap on text processing state of the art. Once provided, the topology of different entities through a textural document may reveal some additive information regarding the document that is not reflected in any other features from traditional text processing methods. In this paper, we introduce a novel approach that hires TDA in text processing in order to capture and use the topology of different same-type entities in textural documents. First, we will show how to extract some topological signatures in the text using persistent homology-i.e., a TDA tool that captures topological signature of data cloud. Then we will show how to utilize these signatures for text classification.

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Copper-dependent ATP7B up-regulation drives the resistance of TMEM16A-overexpressing head-and-neck cancer models to platinum toxicity

Biochemical Journal ◽

10.1042/bcj20190591 ◽

2019 ◽

Vol 476 (24) ◽

pp. 3705-3719 ◽

Cited By ~ 2

Author(s):

Avani Vyas ◽

Umamaheswar Duvvuri ◽

Kirill Kiselyov

Keyword(s):

Oxidative Stress ◽

Head And Neck ◽

Transcriptional Activation ◽

Platinum Resistance ◽

Mrna Levels ◽

Strong Positive Correlation ◽

Platinum Compounds ◽

Copper Chelation ◽

Novel Approach ◽

Cancer Models

Platinum-containing drugs such as cisplatin and carboplatin are routinely used for the treatment of many solid tumors including squamous cell carcinoma of the head and neck (SCCHN). However, SCCHN resistance to platinum compounds is well documented. The resistance to platinum has been linked to the activity of divalent transporter ATP7B, which pumps platinum from the cytoplasm into lysosomes, decreasing its concentration in the cytoplasm. Several cancer models show increased expression of ATP7B; however, the reason for such an increase is not known. Here we show a strong positive correlation between mRNA levels of TMEM16A and ATP7B in human SCCHN tumors. TMEM16A overexpression and depletion in SCCHN cell lines caused parallel changes in the ATP7B mRNA levels. The ATP7B increase in TMEM16A-overexpressing cells was reversed by suppression of NADPH oxidase 2 (NOX2), by the antioxidant N-Acetyl-Cysteine (NAC) and by copper chelation using cuprizone and bathocuproine sulphonate (BCS). Pretreatment with either chelator significantly increased cisplatin's sensitivity, particularly in the context of TMEM16A overexpression. We propose that increased oxidative stress in TMEM16A-overexpressing cells liberates the chelated copper in the cytoplasm, leading to the transcriptional activation of ATP7B expression. This, in turn, decreases the efficacy of platinum compounds by promoting their vesicular sequestration. We think that such a new explanation of the mechanism of SCCHN tumors’ platinum resistance identifies novel approach to treating these tumors.

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Collecting Words: A Clinical Example of a Morphology-Focused Orthographic Intervention

Language Speech and Hearing Services in Schools ◽

10.1044/2020_lshss-19-00050 ◽

2020 ◽

Vol 51 (3) ◽

pp. 544-560 ◽

Cited By ~ 3

Author(s):

Kimberly A. Murphy ◽

Emily A. Diehm

Keyword(s):

Written Language ◽

Morphological Knowledge ◽

English Orthography ◽

Word Level ◽

Novel Approach ◽

Language Pathology ◽

The One ◽

Critical Intervention ◽

Reading And Spelling ◽

Reading And Spelling Difficulties

Purpose Morphological interventions promote gains in morphological knowledge and in other oral and written language skills (e.g., phonological awareness, vocabulary, reading, and spelling), yet we have a limited understanding of critical intervention features. In this clinical focus article, we describe a relatively novel approach to teaching morphology that considers its role as the key organizing principle of English orthography. We also present a clinical example of such an intervention delivered during a summer camp at a university speech and hearing clinic. Method Graduate speech-language pathology students provided a 6-week morphology-focused orthographic intervention to children in first through fourth grade ( n = 10) who demonstrated word-level reading and spelling difficulties. The intervention focused children's attention on morphological families, teaching how morphology is interrelated with phonology and etymology in English orthography. Results Comparing pre- and posttest scores, children demonstrated improvement in reading and/or spelling abilities, with the largest gains observed in spelling affixes within polymorphemic words. Children and their caregivers reacted positively to the intervention. Therefore, data from the camp offer preliminary support for teaching morphology within the context of written words, and the intervention appears to be a feasible approach for simultaneously increasing morphological knowledge, reading, and spelling. Conclusion Children with word-level reading and spelling difficulties may benefit from a morphology-focused orthographic intervention, such as the one described here. Research on the approach is warranted, and clinicians are encouraged to explore its possible effectiveness in their practice. Supplemental Material https://doi.org/10.23641/asha.12290687

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