Satisfactory Analysis for Cosmetic Product Review Comments

Many online platforms for movie streaming have emerged nowadays in Indonesia with the development of technology. Streaming platforms that are widely used by the public are Netflix, Disney+, HBO Go, WeTV, Vidio. A lot of comparisons between streaming platforms have become a topic of discussion on social media. The opinions expressed by users of the streaming platform greatly affect other users who want to watch the movie. The transmission of opinions from users becomes positive and negative comments that are received by the public and spread widely on social media. Opinions that contain both positive and negative comments become a problem and can affect other users who want to watch movies through streaming platforms. The opinions of users about the streaming platform can be analyzed through sentiment analysis. At the stage of data collection using scrapy framework tools with Python, as much as 1,500 lines of text are preprocessed. LDA method to present topics that contain representative words. Classification using the Support Vector Machine (SVM) gets more positive comments than negative comments. The test results obtained an accuracy of 0.82, recall of 0.8, F1 score of 0.79, and precision of 0.8.

Technological developments provide significant changes in the field of journalism, especially in the news by the mass media. The online news portal currently provides a comment column feature for news readers to comment on the existing news. This study aims to (1) look at the effect of reader comments on students' perceptions of controversial news about campus through the LINE Today feature, (2) analyze the difference in influence between positive comments and negative comments on students' perceptions of campus controversy news through the LINE Today feature. This study uses a quantitative approach with a questionnaire method to the research population. The sample is students of the Department of Communication, Faculty of Social and Political Sciences, Hasanuddin University who have accounts on the LINE application, totaling 199 people with the total sampling method. Regression analysis technique was used to see the effect of reader comments on student perceptions. To compare the effect of positive and negative reader comments, a comparative analysis technique is used, namely variance. The results showed that (1) There was a significant effect of reader comments on students' perceptions of campus controversy news through the LINE Today feature using both positive and negative stimuli; (2) There is a difference in the effect of positive and negative comments on students' perceptions of campus controversy news through the LINE Today feature.stimuli have a greater influence on student perceptions

Consumer exposure to certain ingredients of cosmetic products: The case for tea tree oil

Cosmetic products occupy a rather important place in modern consumption models. Cosmetics are an integral part of our lives. In Ukraine, as in the whole world, the problem of falsification of cosmetic products is extremely acute. According to the EU cosmetic regulation, toxic substances that cannot be used in the production of cosmetics include endocrine drugs that affect the work of the hormonal system, preservatives that must undergo a strict assessment of their impact on product safety. An effective method of detecting falsification of cosmetic products is their trade examination. The article examines the peculiarities of commodity examination of cosmetic products. It was noted that the main method of detecting falsification of cosmetic products is their trade examination. The requirements for information regarding the examination of cosmetic products are highlighted, the analysis of the main documents used in the commodity examination of cosmetic products is carried out. The researched quality of labeling of certain types of cosmetic products. When examining cosmetic products, it is necessary to adhere to a certain algorithm. After collecting the information, the accompanying documents are studied, i.e. documents that contain the necessary and sufficient information for the identification of the consignments of goods along the entire way of goods transportation. There are gross violations in some cosmetic products, for example, the manufacturer's address is missing from the labeling of Korean-made facial gel peeling. Some manufacturers indicate additional information on the label. Identification of the quality of the labeling of cosmetic products is one of the important stages in the general algorithm of commodity examination, which allows determining the compliance of the cosmetic product with regulatory documents at the very first stage and subsequently saving money and time for conducting a more complex instrumental examination.

The aim of this study was to develop and validate a simple, fast, and universal reversed-phase high-performance liquid chromatography method with fluorescence detection for the quantitation and evaluation of the stability of bakuchiol in cosmetic products. The analyte was extracted by tetrahydrofuran and separated on a Zorbax Eclipse Plus C18 analytical column (100 × 4.6 mm, 3.5 μm particle size) by a gradient elution program with the mobile phase consisting of water and acetonitrile and a flow rate of 1.0 mL min−1. The column temperature was held at 25 °C and fluorescence detection was performed at excitation and emission wavelengths of 264 and 338 nm, respectively. The stability studies of bakuchiol in cosmetic products were conducted under various conditions, including thermal and photolytic degradation, according to International Conference on Harmonization Guidelines. The calibration curve was linear in the range of 0.5–50.0 μg g−1 with a correlation coefficient greater than 0.9999. The limits of detection and quantification of the method were 0.1 and 0.5 μg g−1, respectively. Recovery values were in the range of 93.37–106.39 μg g−1, with relative standard deviations less than 6%. The method has been successfully applied to analyze different types of cosmetic products and proved to be reliable.

ObjectivesPrior research has demonstrated that men and women emergency medicine (EM) residents receive similar numerical evaluations at the beginning of residency, but that women receive significantly lower scores than men in their final year. To better understand the emergence of this gender gap in evaluations we examined discrepancies between numerical scores and the sentiment of attached textual comments.MethodsThis multicenter, longitudinal, retrospective cohort study took place at four geographically diverse academic EM training programs across the United States from July 1, 2013–July 1, 2015 using a real-time, mobile-based, direct-observation evaluation tool. We used complementary quantitative and qualitative methods to analyze 11,845 combined numerical and textual evaluations made by 151 attending physicians (94 men and 57 women) during real-time, direct observations of 202 residents (135 men and 67 women).ResultsNumerical scores were more strongly positively correlated with positive sentiment of the textual comment for men (r = 0.38, P < 0.001) compared to women (r = −0.26, P < 0.04); more strongly negatively correlated with mixed (r = −0.39, P < 0.001) and negative (r = −0.46, P < 0.001) sentiment for men compared to women (r = −0.13, P < 0.28) for mixed sentiment (r = −0.22, P < 0.08) for negative; and women were around 11% more likely to receive positive comments alongside lower scores, and negative or mixed comments alongside higher scores. Additionally, on average, men received slightly more positive comments in postgraduate year (PGY)-3 than in PGY-1 and fewer mixed and negative comments, while women received fewer positive and negative comments in PGY-3 than PGY-1 and almost the same number of mixed comments.ConclusionWomen EM residents received more inconsistent evaluations than men EM residents at two levels: 1) inconsistency between numerical scores and sentiment of textual comments; and 2) inconsistency in the expected career trajectory of improvement over time. These findings reveal gender inequality in how attendings evaluate residents and suggest that attendings should be trained to provide all residents with feedback that is clear, consistent, and helpful, regardless of resident gender.

Product packaging serves a logistical function related to transport, storage, product safety, and information. Furthermore, packaging is an integral part of the product, but after use, it becomes unnecessary and, from this perspective, constitutes post-consumer waste, which in turn poses a threat to our environment. Therefore, in the context of sustainable development, limiting the negative impact of such packaging on our natural environment is crucial. Consumers themselves also play a significant role, as their purchasing decisions can influence producers’ responsibility and the increasing prevalence of eco-friendly packaging. Therefore, researching consumer awareness is crucial to understanding how consumer purchasing decisions can support the concept of sustainable development in the context of packaging. The aim of this study is to analyze consumer opinions regarding the characteristics of cosmetic and food product packaging and the importance of information placed on such packaging for consumers when making purchasing decisions. The study utilized a survey method and also analyzed the survey results, allowing for the identification of consumer attitudes and opinions regarding the characteristics of cosmetic and food product packaging. Furthermore, it was determined which information presented on food and cosmetic product packaging is considered crucial by consumers when making purchasing decisions.

Category:Practice ManagementIntroduction/Purpose:Utilization by patients of physician rating websites continues to expand. There is limited information on how these websites function and influence patient perception and physicians’ practices. No study has specifically investigated online ratings and comments of orthopedic foot and ankle surgeons. In this study, we identified what factors impact online ratings and comments for this subset of surgeons.Methods:A total of 210 orthopedic foot and ankle surgeons in or near metropolitan areas were randomly selected from the American Orthopaedic of Foot & Ankle Society (AOFAS) website. Demographic information, ratings (number of stars), and comments were reviewed on the three most visited public domain physician ratings websites: HealthGrades.com (HealthGrades), Vitals.com (Vitals), and Ratemds.com (Ratemds). Content differences between positive and negative comments were evaluated.Results:Orthopedic foot and ankle surgeons had a mean rating of 4.03 ± 0.57 out of 5 stars. A high percentage (84%) of the total number of ratings were either 1-star (17%) or 5-stars (67%). Most positive comments related to outcome, physician personality, and communication while most negative comments related to outcome, bedside manner, and waiting time. Chi-square analysis revealed statistically significant proportions of positive comments pertaining to surgeon-dependent factors (eg, physician personality, knowledge, skills) and of negative comments concerning surgeon-independent factors (eg, waiting time, logistics).Conclusion:This is the first study examining online ratings and written comments of orthopedic foot and ankle surgeons. Surgeons had a generally favorable rating and were likely to have positive comments. Patients were likely to write positive comments about surgeon personality and communication, and negative comments pertaining to bedside manner and waiting time. Knowledge and management of online content may allow surgeons to improve patient satisfaction and online ratings.

Chlorhexidine may cause type I and type IV allergy. Some chlorhexidine-allergic individuals have been exposed in the healthcare setting as patients or healthcare workers, but for others the source of sensitization is unknown. Chlorhexidine may be used as a preservative or an antimicrobial agent in cosmetic products at a concentration up to 0.3%, as set by the European Cosmetics Directive (now Regulations). To identify cosmetic product types containing chlorhexidine, and to measure the concentration of chlorhexidine in selected products. Between February 2013 and April 2013, we checked for chlorhexidine in cosmetic products in 14 supermarkets, one hairdressing salon and one beauty and retail store in Copenhagen, Denmark by reading the ingredient labels. The chlorhexidine concentration was measured in 10 selected products by high-performance liquid chromatography (HPLC) with an ultraviolet (UV) detector. Chlorhexidine was found in 80 of 2251 checked products (3.6%) in the following categories: hair products (57/760), creams (9/324), face washes (4/24), wet wipes (4/63), skin tonics (3/22), make-up removers (2/25), and mouth washes (1/17). Chlorhexidine concentrations were 0.01-0.15%. We found chlorhexidine in various cosmetic product types, predominantly aimed at females, and in hair products. The measured chlorhexidine concentrations were all within the permitted limit. The relevance for allergic sensitization should be further explored.

Social media has become a one-stop shop for consuming news and expressing political views. Politics has become increasingly emotional, and the ensuing polarization has created echo chambers that favor narratives and stories that repeat only one point of view. In this article, we investigated the role of political activity through Twitter (now ‘X’) engagement as a predictor of destructive fires and deforestation in the Brazilian Legal Amazon (BLA). We used a machine learning approach based on sentiment analysis and satellite data. To test the consistency of the sentiment analysis, we compared the timing of messages related to fire and deforestation events with daily fire data from satellites. When comparing positive and negative comments about fires in the BLA, the results showed that the best model for predicting fire outbreaks is the decision tree regressor. We found evidence that positive comments about agriculture, industry, and the Amazon rainforest in response to speeches and statements by high-ranking Brazilian politicians tend to induce positive comments about fire outbreaks and deforestation. These comments then become good predictors of fire outbreaks with a 6-day lag. These results support the view that high-ranking politicians have enormous power to influence damaging events that can have severe impacts on communities, the environment, and the economy. Brazil has seen an unprecedented increase in deforestation and fires in the Amazon rainforest in recent years. Our findings contribute to the growing literature on the role of social media in real-world events and how machine learning approaches can be used to address this class of problems.

Twitter has provided a convenient platform to express feelings and opinions in different areas. Opinion mining in Twitter can be considered as studying the overall sentiment of a tweet. There are two general categories of sentiment analysis methods in the Persian language, linked-base methods and, content-based methods. In this study, we implement a new link-based method for improving opinion classification in the Persian language. To compare with the content-based method, we implement a content-based method using Naive Bayes Method with two different weighting Methods: TF/IDF and Chi-Square. The TF/IDF method has good results in previous Persian language studies. The Chi-Square method has not been used in the Persian language researches, but the accuracy is fairly good in English. The results show that the improvement in the language-independent methods is remarkable and is in accordance with this research, the precision of the proposed algorithm for positive and negative comments was 98.87% and 97.87%, and the recall value for positive and negative comments was 99.24% and 96.84% respectively. The results also show that because of complexities in Persian syntax and lack of proper natural language processing tools in Persian, content-based algorithms operate poorly compared to English.

Inefficiency in Earnings Forecasts: Experimental Evidence of Reactions to Positive vs. Negative Information

When communicating their CSR (Corporate Social Responsibility) activities many companies predominantly release positive information. However, relying solely on positive information holds potential risks. Brands are consequently confronted with the dilemma of whether to exclusively disclose positive details about their environmental CSR activities (i.e., one-sided messages) or opt for voluntary disclosure of positive and negative information (i.e., two-sided messages). Existing literature distinguishes moderately and highly relevant types of negative information. However, prior research has predominantly overlooked the investigation of highly relevant negative CSR information. Therefore, our primary objective is to explore the impact of two-sided messages encompassing highly relevant negative CSR information in comparison to one-sided messages. We conducted four online experiments in two countries with different brands (study 1 (Germany, Mercedes-Benz, n = 457); study 2 (Germany, Porsche, n = 431); study 3 (USA, Mercedes-Benz, n = 468) and study 4 (USA, Tesla, n = 465)). The results reveal that two-sided messages with the disclosure of highly relevant negative CSR information lead to negative effects in comparison to one-sided messages with only positive information. Consequently, brands should exercise caution in communicating highly relevant negative CSR aspects. Our findings offer notable theoretical insights and practical implications.

To investigate the association between tertiary reviewer (admissions committee member) comments and medical students' performance during medical school and into internship. We collected data from seven year-groups (1993-1999) and coded tertiary reviewer comments into 14 themes. We then conducted an exploratory factor analysis to reduce the dimensions of the themes (excluding the Overall impression theme). Subsequently, we performed Pearson correlation analyses and multiple linear regression analysis to examine the relationship between the factors and seven outcome measures: medical school preclinical grade point average (GPA), medical school clinical GPA, cumulative medical school GPA, U.S. Medical Licensing Examination Step 1 and 2 scores, and scores on a program director's evaluation measuring intern professionalism and expertise. We extracted seven factors from the 13 themes and found small-to-moderate, significant correlations between the factors, the Overall impression theme, and the outcome measures. In particular, positive comments on Test and Maturity were associated with higher U.S. Medical Licensing Examination Step 1 and 2 scores. Negative comments on Interview and Recommendations were associated with lower ratings of professionalism during internship. Comments on Overall impression were significantly associated with all the outcome measures. Tertiary reviewer comments were weakly associated with performance in medical school and internship. Compared with positive comments, negative comments had stronger associations with medical school and internship performance measures.

With the development of technology, consumers gather information in the internet environment before making a purchase decision in the tourism sector and the food and beverage sector under it. The positive and negative comments of consumers on the online review sites affect the decision making and buying behavior. The purpose of this study is to determine the negative customer comments on Tripadvisor regarding the restaurants operating in Sirince. Negative comments made for restaurant businesses were evaluated according to the criteria of food, staff, price, service, atmosphere and cleanliness and subjected to content analysis. It has been revealed that the criteria that restaurant customers make most negative comments are food, service and price. It has been determined that the complaints under these criteria arise due to bad and unpleasant food, cold service, slow service and expensive price. The study was ended with suggestions for restaurant managers and alternatives for future work to eliminate the problems.