scholarly journals Clarity 2.0: Improved Assessment of Product Competitiveness from Online Content

AI Magazine ◽  
2021 ◽  
Vol 42 (2) ◽  
pp. 59-70
Author(s):  
Yufeng Huang ◽  
Mariana Bernagozzi ◽  
Michelle Morales ◽  
Sheema Usmani ◽  
Biplav Srivastava ◽  
...  

Competitive analysis is a critical part of any business. Product managers, sellers, and marketers spend time and resources scouring through an immense amount of online and offline content, aiming to discover what their competitors are doing in the marketplace to understand what type of threat they pose to their business’ financial well-being. Currently, this process is time and labor-intensive, slow and costly. This paper presents Clarity, a data-driven unsupervised system for assessment of products, which is currently in deployment in the global technology company, IBM. Clarity has been running for more than a year and is used by over 4,500 people to perform over 200 competitive analyses involving over 1000 products. The system considers multiple factors from a collection of online content: numeric ratings by online users, sentiment of user generated online content for key product performance dimensions, content volume, and topic analysis of content. The results and explanations of factors leading to the results are visualized in an interactive dashboard that allows users to track their product’s performance as well as understand main contributing factors. Its efficacy has been tested in a series of cases across IBM’s portfolio which spans software, hardware, and services. After initial release and first year of use, improvements to the methodology were implemented to ensure it was relevant to and served the highest impact needs of target users. Moreover, new use cases leveraging the initial ideas and approaches continue to be explored.

2020 ◽  
Vol 34 (08) ◽  
pp. 13204-13211
Author(s):  
Sheema Usmani ◽  
Mariana Bernagozzi ◽  
Yufeng Huang ◽  
Michelle Morales ◽  
Amir Sabet Sarvestani ◽  
...  

Competitive analysis is a critical part of any business. Product managers, sellers, and marketers spend time and resources scouring through an immense amount of online and offline content, aiming to discover what their competitors are doing in the marketplace to understand what type of threat they pose to their business' financial well-being. Currently, this process is time and labor-intensive, slow and costly. This paper presents Clarity, a data-driven unsupervised system for assessment of products, which is currently in deployment in the large IT company, IBM. Clarity has been running for more than a year and is used by over 1,500 people to perform over 160 competitive analyses involving over 800 products. The system considers multiple factors from a collection of online content: numeric ratings by online users, sentiments of reviews for key product performance dimensions, content volume, and recency of content. The results and explanations of factors leading to the results are visualized in an interactive dashboard that allows users to track their product's performance as well as understand main contributing factors. Its efficacy has been tested in a series of cases across IBM's portfolio which spans software, hardware, and services.


2020 ◽  
Vol 34 (09) ◽  
pp. 13640-13641
Author(s):  
Sheema Usmani ◽  
Mariana Bernagozzi ◽  
Yufeng Huang ◽  
Michelle Morales ◽  
Amir Sabet Sarvestani ◽  
...  

Competitive analysis is a critical part of any business. Product managers, sellers, and marketers spend time and resources scouring through a huge volume of online and offline content, aiming to discover what their competitors are doing in the marketplace and to understand what type of threat they pose to their business' financial well-being. Currently, this process is slow, costly and labor-intensive. We demonstrate Clarity, a data-driven unsupervised system for assessment of products, which is currently in deployment at IBM. Clarity has been running for more than a year and is used by over 1,500 people to perform over 160 competitive analyses involving over 800 products. The system considers multiple factors from a collection of online content: numeric ratings by users, sentiment towards key product drivers, content volume, and recency of content. The results and explanations of factors leading to the results are visualized in an interactive dashboard that allows users to track the performance of their products as well as understand the main contributing factors. main contributing factors.


Crisis ◽  
1999 ◽  
Vol 20 (2) ◽  
pp. 78-85 ◽  
Author(s):  
Thomas Reisch ◽  
Petra Schlatter ◽  
Wolfgang Tschacher

This study assesses the efficacy of the treatment approach implemented in the Bern Crisis Intervention Program, where particular emphasis is placed on the remediation of suicide ideation and suicidal behavior, and depression, fear, and phobia are generally considered to be contributing factors. Four questionnaires addressing psychopathology, emotional well-being, social anxiety, and personality were administered prior to and after the treatment of 51 patients over a period of 2 to 3 weeks. The reduction of symptoms contributing to suicidal ideation and behavior was interpreted as indirect evidence of an antisuicidal effect of the program. Significant improvements were found in the psychopathology ratings, with depression and anxiety showing the largest reductions. The impact on personality and social phobia, however, was only moderate, and on average patients still exhibited symptoms after attending the program. This residual symptomatology points to the necessity of introducing a two-step therapy approach of intensive intervention targeted at the precipitating causes of the crisis, augmented by long-term therapy to treat underlying problems.


2021 ◽  
pp. 1-14
Author(s):  
Xiao Chang ◽  
Qiyong Gong ◽  
Chunbo Li ◽  
Weihua Yue ◽  
Xin Yu ◽  
...  

Abstract China accounts for 17% of the global disease burden attributable to mental, neurological and substance use disorders. As a country undergoing profound societal change, China faces growing challenges to reduce the disease burden caused by psychiatric disorders. In this review, we aim to present an overview of progress in neuroscience research and clinical services for psychiatric disorders in China during the past three decades, analysing contributing factors and potential challenges to the field development. We first review studies in the epidemiological, genetic and neuroimaging fields as examples to illustrate a growing contribution of studies from China to the neuroscience research. Next, we introduce large-scale, open-access imaging genetic cohorts and recently initiated brain banks in China as platforms to study healthy brain functions and brain disorders. Then, we show progress in clinical services, including an integration of hospital and community-based healthcare systems and early intervention schemes. We finally discuss opportunities and existing challenges: achievements in research and clinical services are indispensable to the growing funding investment and continued engagement in international collaborations. The unique aspect of traditional Chinese medicine may provide insights to develop a novel treatment for psychiatric disorders. Yet obstacles still remain to promote research quality and to provide ubiquitous clinical services to vulnerable populations. Taken together, we expect to see a sustained advancement in psychiatric research and healthcare system in China. These achievements will contribute to the global efforts to realize good physical, mental and social well-being for all individuals.


2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Bahareh Honari ◽  
Seyed Mehran Homam ◽  
Maryam Nabipour ◽  
Zahra Mostafavian ◽  
Arezou Farajpour ◽  
...  

Abstract Background Epilepsy is one of the most common neurological disorders with physical, emotional, and social consequences. Previous studies indicate that epilepsy symptoms can highly affect the epileptic patients’ satisfaction in life. The aim of the present study is to investigate the QOL of People with Epilepsy (PWE) in Khorasan Razavi province, Iran. Methods In this study, 100 patients were randomly selected. After confirmation of the diagnosis of epilepsy by neurologists and fulfilling the entrance criteria, patients completed the Quality of Life in Epilepsy-31 inventory (QOLIE-31) questionnaire. Finally, data was analyzed statistically by SPSS software. Results The study sample comprised 100 PWE, aged 18–74 years (34 ± 13), of whom 58 (58%) were females. Tonic-colonic seizure was the most common (60%) type of seizure. The obtained score of each subscale and the range of the QOLIE-31 total score was 16.40–79.18 with the mean of 50 (SD = 16). The energy-fatigue subscale score was significantly higher in patients younger than 35 (p = 0.018). The data analysis showed that the seizure worry subscale was significantly higher in single patients (p = 0.04). Duration of epilepsy had a positive correlation with QOLIE-31 total score (p = 0.038), and a negative relationship with energy-fatigue subscale (p = 0.018). In contrast with previous studies, which reported the frequency of the epileptic episodes as the most important predictor of QOL, our results showed no significant correlation between the number of the episodes and overall QOL score (p = 0.063). However, the number of episodes was significantly correlated with emotional well-being and cognition subscales. Furthermore, the results indicated that poor QOL score is correlated with depressed mood. Conclusion In fact, the ultimate and preferred outcome of all treatments and care interventions is the patient’s QOL. Thus, improvement of the QOL by means of obtaining more information about its contributing factors, in PWE should be one of the main goals in the patients’ treatment.


2021 ◽  
Vol 5 (1) ◽  
pp. 11
Author(s):  
Inês Teodoro ◽  
Hugo Torres ◽  
Nuno Venâncio ◽  
Guilhermina Moutinho ◽  
Maria Deolinda Auxtero

Cannabis is the illegal drug most used worldwide. Its long-term use increases the risk of depression and schizophrenia, causing a major public health problem. A validated questionnaire was applied to first year students of Instituto Universitário Egas Moniz to assess their intention regarding cannabis use. They do not consider cannabis to be much associated with well-being, they slightly consider the opinion of relatives, and they show a low intent to use the drug, believing themselves to have strong self-control. Scores are above average for 18-y.o. Portuguese students, except for belief in self-control.


Author(s):  
Alessio Gori ◽  
Eleonora Topino

This study aimed at investigating the psychological effect of the COVID-19 pandemic in Italy by analysing the trends of perceived stress, post-traumatic symptoms, state anxiety, worry, and civic moral disengagement in four different moments from March 2020 to March 2021. The study involved a total of 1827 Italian participants (30% men and 70% women; Mage = 34.72; SD = 12.40) divided into four groups to which an online survey was administered. The first group completed the survey in March 2020, the second one in August 2020, the third one in November 2020, and the fourth one in March 2021. Results highlighted significant decreases in post-traumatic symptoms and a significant increase in civic moral disengagement over the first year of the COVID-19 pandemic. The levels of perceived stress, worry, and state anxiety remained constant. The correlations between the variables at different times were also explored, as well as gender differences over the year. The COVID-19 emergency has had significant effects on the mental state of the population, with important repercussions for individual and collective well-being during but probably also after the pandemic. This study offers a clear snapshot of the psychological outcomes over one COVID-19 pandemic year, providing important information that may contribute to tailor more effective interventions for mental health.


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