The Prediction of Sales Volume and WoM Effect Based on Topic Extraction from Social Media

2020 ◽  
Vol 16 (5) ◽  
pp. 633-647
Author(s):  
Jaewon Choi
Keyword(s):  
Social Media ◽  
Sales Volume ◽  
Topic Extraction

Transitive Topic Modeling with Conversational Structure Context: Discovering Topics that are Most Popular in Online Discussions

2020 ◽  
Vol 14 (02) ◽  
pp. 273-293
Author(s):  
Yingcheng Sun ◽  
Richard Kolacinski ◽  
Kenneth Loparo
Keyword(s):  
Social Media ◽  
Topic Modeling ◽  
Topic Model ◽  
Online Discussions ◽  
Challenging Problem ◽  
Topic Extraction ◽  
Limited Success ◽  
Social Media Platforms ◽  
Improved Performance ◽  
Conversational Structure

With the explosive growth of online discussions published everyday on social media platforms, comprehension and discovery of the most popular topics have become a challenging problem. Conventional topic models have had limited success in online discussions because the corpus is extremely sparse and noisy. To overcome their limitations, we use the discussion thread tree structure and propose a “popularity” metric to quantify the number of replies to a comment to extend the frequency of word occurrences, and the “transitivity” concept to characterize topic dependency among nodes in a nested discussion thread. We build a Conversational Structure Aware Topic Model (CSATM) based on popularity and transitivity to infer topics and their assignments to comments. Experiments on real forum datasets are used to demonstrate improved performance for topic extraction with six different measurements of coherence and impressive accuracy for topic assignments.

scholarly journals Social Media Marketing in the Sales Volume Prediction for the Lolita Fashion Brand

2021 ◽  
Author(s):  
Ton Chaing ◽  
Hsin Rau ◽  
Jung Wei Shiang ◽  
Luen Jon Chiang
Keyword(s):  
Social Media ◽  
Prediction Models ◽  
Social Media Marketing ◽  
Sales Volume ◽  
Fashion Industry ◽  
Fashion Products ◽  
Sales Prediction ◽  
Marketing Data ◽  
Media Platform ◽  
The Impact

Despite extensively investigating the impact of social media on fashion products’ marketing, little evidence is available on how the platforms influence sales prediction. Focusing on Lolita fashion, this study investigates the impact of social media marketing on the sales volume prediction of fashion products. Essentially, we analyzed marketing data, including comments, likes, and shares from the Weibo social platform, to forecast future sales, examine how to enhance profit performance, and make production decisions. Using a quantitative approach, we tested three different prediction models, including multiple regression, decision tree, and XGBoost. The results revealed that increasing comments and decreasing the number of likes could significantly improve the sales volumes of Lolita products. In contrast, shares exerted a less significant impact on sales. Regarding prediction models, XGBoost was found to be the best method. In the fashion industry, social media is a useful tool for forecasting market trend. A limitation of this study is that only one social media platform was used to extract data, which might limit the generalization of the findings.

scholarly journals Analisis Digital Marketing Penjualan Baju Brand Matahari Di ICH Danareja

2019 ◽  
Vol 3 (1) ◽  
pp. 37
Author(s):  
Inaaratul Chusna Ichda Purwanto
Keyword(s):  
Social Media ◽  
Market Share ◽  
Energy Development ◽  
Online Marketing ◽  
Digital Marketing ◽  
Sales Volume ◽  
Total Income ◽  
Product Sales

ICH Danareja describes home industry players engaged in the sale of clothing brand. The implementation of the sale of clothing matahari brand of ICH Danareja tried was with an store system offline and online marketing through social media. The case experienced by ICH at this time was the least method of selling clothing matahari brand through promotional media facilities. The average sales in 2018 per month are only around 300 pcs of clothing produced from conventional and online marketing with a total income of IDR. 15,000,000/month. This situation is quite low because it is fitting for the sales target of 500 pcs of clothing and has not targeted the use of facilities digital marketing as well as indicating depreciation in sales volume by 40% in 2016, 45% in 2017 and 50% in 2018. Research on the problems studied clothing sales can be improved in the manner of the Boston Consulting Group. The result of the level of clothing sales volume of the matahari brand an attractive energy development market of 0, 03%, the total development of the market share is 0, 6%, the level of development of product sales reaches 504 pcs per month. So that it can fulfill the sales target of 500 pcs of clothes per month. Next, analyzing benchmarking that refers to the strategy canvas, the price advantage of ICH is relatively standard and affordable, the lowest price of IDR. 35,000. Keywords: Boston Consulting Group, Benchmarking, Digital Marketing

scholarly journals PENGARUH KEMAJUAN TEKNOLOGI TERHADAP VOLUME PEJUALAN RITEL DI KOTA MOJOKERTO

OPTIMA ◽  
2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Rachmad Sholeh ◽  
Khasbulloh Huda
Keyword(s):  
Information Technology ◽  
Social Media ◽  
Technological Progress ◽  
Digital Marketing ◽  
The Internet ◽  
Sales Volume ◽  
Business World ◽  
Technological Advances ◽  
The Right ◽  
A Company

The development of the business world today is increasingly diverse and competitive, the pace of development is very difficult to predict, so having the right strategy is the key for a company to continue to compete and survive. Along with technological advancements and the development of communication suggestions, the company is utilizing these technological advances as a marketing strategy tool to promote its products. Given the growth of buying and selling transactions in the network or online in Indonesia at this time is very rapid, with this being used by companies to market and promote via the internet. This study aims to determine the effect of the implementation of technological progress on retail sales volumes. The development of information technology that is growing very rapidly now influences the community in supporting various business activities both large and small so that it can be known globally. The most obvious impact is that besides being known, it can also increase sales volume. Digital Marketing is one of the very large marketing media that has an influence. Using digital marketing in this case is social media and E-commerce. The most widely used social media is Facebook, Twitter and Instagram. The subjects in this study were retail owners, managers, and employees who were selected by purpose sampling.

Implementasi Metode Action Research untuk Peningkatan Daya Saing Umkm Melalui E-Commerce

2019 ◽  
Vol 23 (1) ◽  
Author(s):  
Azizah Zakiah ◽  
Ardhian Ekawijana ◽  
Eka Angga Laksana
Keyword(s):  
Information Technology ◽  
Social Media ◽  
Action Research ◽  
Research Method ◽  
Sales Management ◽  
Production Capacity ◽  
Sales Volume ◽  
Brunei Darussalam ◽  
Production House ◽  
Marketing Methods

Bandung city has Binong Jati knitting textile center established since 1965. This region is famous to neighboring countries because its knitted products are exported to Singapore, Brunei Darussalam, and Malaysia. Wanina Store and Karimake Store is a production house located in Binong Knitting Village. Production capacity has decreased significantly due to decreased sales volume so that it affects the level of business profits and impact on the low level of production. These SMEs are still using conventional ways in marketing their products and their knowledge in innovating technology is still low. Both partners are still using traditional marketing methods. They have not taken advantage of the existing marketplace or social media, due to the level of skills in the mastery and utilization of information technology is very low. So, the solution to the problem is (1) create an e-Commerce-based website to increase market share expansion and sales management. (2) provide training on the use of e-commerce that has been made. (3) provide training on the utilization of top 5 popular. The research method used in this research is the action research method and to measure the success of the system that has been implemented using the DeLone & Mc lean framework.Keywords : Action Research, SMEs, e-commerce, Improving, DeLone &Mc Lean.

Exploring Relationships between Tweet Numbers and Over-The-Counter Drug Sales for Allergic Rhinitis: Retrospective Analysis (Preprint)

2021 ◽  
Author(s):  
Shoko Wakamiya ◽  
Osamu Morimoto ◽  
Katsuhiro Omichi ◽  
Hideyuki Hara ◽  
Ichiro Kawase ◽  
...  
Keyword(s):  
Social Media ◽  
Time Series ◽  
Allergic Rhinitis ◽  
Time Series Data ◽  
Series Data ◽  
Sales Volume ◽  
Social Media Data ◽  
Drug Sales ◽  
Number Of Patients ◽  
Media Data

BACKGROUND Health-related social media data are increasingly being used in disease surveillance studies. In particular, surveillance of infectious diseases such as influenza has demonstrated high correlations between the number of social media posts mentioning the disease and the number of patients who went to the hospital and were diagnosed with the disease. However, the prevalence of some diseases, such as allergic rhinitis, cannot be estimated based on the number of patients alone. Specifically, patients with allergic rhinitis self-medicate by taking over-the-counter (OTC) medications without going to the hospital. Although allergic rhinitis is not a life-threatening disease, it is a major social problem because it reduces patients’ quality of life, making it essential to understand its prevalence and the motives for self-medication behavior. OBJECTIVE To help understand the prevalence of allergic rhinitis and the motives for self-care treatment using social media data, this study investigated the relationship between the number of social media posts mentioning the main symptoms of allergic rhinitis and the sales volume of OTC rhinitis medications in Japan. METHODS We collected tweets over four years from 2017 to 2020 that included keywords corresponding to the main nasal symptoms of allergic rhinitis: “sneezing,” “runny nose,” and “stuffy nose.” We also obtained the sales volume of OTC drugs, including oral medications and nasal sprays, for the same period. We then calculated the Pearson correlation coefficient between time series data on the number of tweets per week and time series data on the sales volume of OTC drugs per week. RESULTS The results showed a much higher correlation (0.8432) between the time series data on the number of tweets mentioning “stuffy nose” and the time series data on the sales volume of nasal sprays than for the other two symptoms. There was also a high correlation (0.9317) between the seasonal components of these time series data. CONCLUSIONS We investigated the relationships between social media data and behavioral patterns, such as OTC drug sales volume. Exploring these relationships would be useful as a marketing indicator to predict sales volume using social media data. In future, in-depth investigations are required to cover other diseases and countries. We investigated the relationships between social media data and behavioral patterns, such as OTC drug sales volume. Exploring these relationships would be useful as a marketing indicator to predict sales volume using social media data. In future, in-depth investigations are required to cover other diseases and countries.

scholarly journals PENGARUH STEMMING TERHADAP EKSTRAKSI TOPIK MENGGUNAKAN METODE TF*IDF*DF PADA APLIKASI PDS

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Luthfan Hadi Pramono ◽  
Cuk Subiyantoro
Keyword(s):  
Social Media ◽  
Topic Model ◽  
Extraction Process ◽  
Basic Form ◽  
Weighting Method ◽  
Topic Extraction ◽  
Further Development

Personal Digital Secretary (PDS) is a system that was developed to be a "personal secretary" who work alongside users digitally. PDS convey information to users in the form of email, social media and news. In order to know the information and news from the outside, it must be done by extracting user topics through email and social media, with the result that news information will have corresponding relationships with users. User topic extraction through email and social media in PDS is using modified weighting method in TF*IDF algorithm named TF*IDF*DF. In the further development, added stemming process in hopes of obtaining an appropriate topic. From the research that has been done, there are differences in terms obtained from the topic extraction without addition stemming process and with addition of stemming process. News information obtained by the addition of stemming process has more focused results than the news information obtained from the topics extraction without additional stemming process. With the addition of stemming process on the TF*IDF*DF algorithm indicates that the word (terms) results obtained from the extraction process has become the basic words because of stemming process. These Basic words are the basic form that an indication of a topicKeywords: User topic, topic extraction, TF*IDF, topic model, fiture selection.

scholarly journals EFEKTIVITAS MEDIA TIKTOK DAN INFLUENCERMENDONGKRAK PENJUALAN LIPPIE SERUM RAECCADIPANDEMI COVID19

2021 ◽  
Vol 4 (1) ◽  
pp. 345-353
Author(s):  
Afriza Indah Fitri ◽  
◽  
Selvi Ainul Inayah Dwiyanti ◽  
Keyword(s):  
Social Media ◽  
Qualitative Methods ◽  
Sales Volume ◽  
Business People ◽  
The Social ◽  
Descriptive Qualitative

This research entitled The Effectiveness of the Social Media of the Tok Team and the Influencer in Boosting Sales Volume Amid the Covid Pandemic19. This research is motivated by the Covid19 pandemic which is a threat to business people in marketing their products. The purpose of this study was to determine the effectiveness level of Tik Tok social media as a place to increase the number of sales during the Covid19 pandemic. This research uses descriptive qualitative methods using literature and interviews with sources to strengthen the results of the research. The result of the research is that Tik Tok social media and Influencers have a role in increasing sales of Lippie Serum products.

PENGARUH SOSIAL MEDIA PEMASARAN TERHADAP PENJUALAN HASIL INDUSTRI KERAJINAN TENUN SONGKET RUMAHAN DI LOMBOK TENGAH

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Lale Puspita Kembang ◽  
Mahmud Mahmud ◽  
Lalu Delsi Samsumar
Keyword(s):  
Social Media ◽  
Survey Research ◽  
Sampling Technique ◽  
Woven Fabric ◽  
Social Media Marketing ◽  
Sales Volume ◽  
Purposive Sampling ◽  
Negative Effect ◽  
Independent Variable ◽  
Positive Effect

<em>Central Lombok is known as a center for songket woven fabric craftsmen, and has experienced ups and downs in terms of sales. Many factors cause the problem to occur, including the location of craftsmen and potential buyers relatively far from major roads, minimal promotions, high fees for guides and partners, inappropriate prices for goods, and so on. The purpose of this study was to determine the effect of social media marketing on the increase in sales volume of the home-made songket woven fabric industry in Central Lombok. This type of research is survey research, carried out using a questionnaire with a Likert scale. The sampling technique used was purposive sampling. The results showed that the independent variable Facebook has a positive effect on sales. WhatsApp has a positive effect on sales volume. Twitter has a positive effect on sales. Instagram has a negative effect on sales.</em>

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