US CONSUMER MARKET REPORT 2020: AN IVF CONSUMER SENTIMENT ANALYSIS

2021 ◽  
Vol 116 (3) ◽  
pp. e373
Author(s):  
Esther H. Chung ◽  
Youkie K.H.S. Shiozawa ◽  
Onyinye Ohamadike ◽  
Jeremy M. Weber ◽  
Tracy Truong ◽  
...  
2019 ◽  
Vol 62 (1) ◽  
pp. 9-17
Author(s):  
Clifford Lewis ◽  
Michael Mehmet

The Net Promoter Score (NPS®) is extensively used as a key performance indicator in practice. Although the scale was initially considered to be a predictor of growth, the literature has disproved this assertion. Despite this, it is argued here that the NPS could be used as a measure of brand health if it provided an effective representation of consumer sentiment toward the brand. This research took a respondent perspective to examine if the NPS effectively captured the consumer’s sentiment. Using a questionnaire design, participants were asked to provide a response on an NPS scale, followed by which they were asked to explain why they gave that score. Therein, a sentiment analysis approach was applied and the open-ended responses were coded based on the type and strength of the attitude. The results indicate that at an overall level, the NPS captures the sentiment participants feel toward a brand. However, caution should be used when classifying participants into detractors, passives, and promoters.


Author(s):  
Nicola Capolupo ◽  
Gianpaolo Basile ◽  
Giancarlo Scozzese

One of the most relevant issues that companies, offices and marketing experts, sociologists and scholars must address studying a new brand or product launch is without any doubt the impact - in terms of feedback - on the consumer sentiment. The study of users' opinions on a specific product or brand has changed with the advent of Web 2.0, which has overcome the old surveys model leading consumers in a too complex and not genuine area, reaching more sophisticated research or even better tracking their opinions directly “on the field”, i.e. in the community where this exchange of views and information happens naturally and not artificially. The analysis of consumers' opinions on social media provides enormous opportunities for the public and the private spheres. Concerning the last on the reputation of a certain product/brand or firm is strongly influenced by the voices and negative opinions published and shared by users on social networks. Indeed, companies need to adapt their behaviour monitoring public opinion.


2021 ◽  
Author(s):  
Hilmi Aulawi ◽  
Essy Karundeng ◽  
Wahyu Andriyas Kurniawan ◽  
Yosep Septiana ◽  
Ayu Latifah

Author(s):  
Agung Eddy Suryo Saputro ◽  
Khairil Anwar Notodiputro ◽  
Indahwati A

In 2018, Indonesia implemented a Governor's Election which included 17 provinces. For several months before the Election, news and opinions regarding the Governor's Election were often trending topics on Twitter. This study aims to describe the results of sentiment mining and determine the best method for predicting sentiment classes. Sentiment mining is based on Lexicon. While the methods used for sentiment analysis are Naive Bayes and C5.0. The results showed that the percentage of positive sentiment in 17 provinces was greater than the negative and neutral sentiments. In addition, method C5.0 produces a better prediction than Naive Bayes.


Corpora ◽  
2019 ◽  
Vol 14 (3) ◽  
pp. 327-349
Author(s):  
Craig Frayne

This study uses the two largest available American English language corpora, Google Books and the Corpus of Historical American English (coha), to investigate relations between ecology and language. The paper introduces ecolinguistics as a promising theme for corpus research. While some previous ecolinguistic research has used corpus approaches, there is a case to be made for quantitative methods that draw on larger datasets. Building on other corpus studies that have made connections between language use and environmental change, this paper investigates whether linguistic references to other species have changed in the past two centuries and, if so, how. The methodology consists of two main parts: an examination of the frequency of common names of species followed by aspect-level sentiment analysis of concordance lines. Results point to both opportunities and challenges associated with applying corpus methods to ecolinguistc research.


2019 ◽  
Vol 10 (9) ◽  
pp. 861-879
Author(s):  
Edson Roberto Vieira ◽  
◽  
Daniel Henrique Alves Reis ◽  

The objective of this study is to analyze the determinants of Brazilian exports by levels of technological intensity in the period 2000-2015. Gravity models were estimated for total of the exports and for each type of exports by levels of technological intensity, using the PPML-estimator. The study indicates that there is a process of concentration of Brazilian exports in low technology and medium-low technology products, at the same period in which China's share of total Brazilian shipments abroad grew. Estimates of empirical gravity models have shown that the income and size of the consumer market of Brazil’s trading partners seem to have the greatest positive influence on the Brazilian exports. Indications of this study are that the Brazil should continue to diversify its trading partners to minimize the impacts of a possible reduction of the economic growth of large trading partners (such as China and the US) on its exports and increase its exports of products with greater technological intensity. The results also highlight the need for Brazil to make greater efforts to increase its competitiveness in the international market to reduce the negative impacts of transport costs on the final prices of products exported by the country.


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