دانلود رایگان مقاله لاتین پیش بینی فروش محصول از سایت الزویر
عنوان فارسی مقاله:
پیش بینی فروش محصول با استفاده از بررسی های آنلاین و داده های فروش مبنی بر تاریخ: روش متشکل از مدل باس و تحلیل احساسات
عنوان انگلیسی مقاله:
Product sales forecasting using online reviews and historical sales data: A method combining the Bass model and sentiment analysis
سال انتشار : 2017
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بخشی از مقاله انگلیسی:
2. Literature review
The extant literature regarding product sales forecasting using online review data and using the Bass model are discussed herein. 2.1. Product sales forecasting based on online review data A number of scholars have developed sentiment analysis techniques for predicting sales performance using online product review and blog data mining (Asur & Humberman, 2010). In the existing literature, three types of information are extracted from online reviews in the forecasting models. The first type of information is volume, which refers to the number of online reviews. As the number of reviews a product has increases, consumers' knowledge about the product increases (Liu, 2006). The second type is valence, which refers to the degree of consumer satisfaction with the product, e.g., the number of positive and negative reviews (Liu, 2006; Godes & Mayzlin, 2004). The third type of information is dispersion. As the distribution of product review information becomes more dispersive, consumers' knowledge about the corresponding product increases (Godes & Mayzlin, 2004). Yu et al. (2012) trained a sentiment-based probabilistic latent semantic analysis model to obtain sentiment information from online reviews and then proposed an auto-regressive sentiment-aware model for sales forecasting. Using movie reviews and box office data, they found that sentiment information and the quality of online reviews have a substantial effect on box office forecasting. Asur and Humberman (2010) adopted the chatter from Twitter.com to forecast box office sales. They used the LingPipe linguistic analysis package to construct a sentiment analysis classifier and measured the ratio of positive to negative tweets to quantify the sentiments about a movie, and then constructed a linear regression model of the rate of positive and negative online film reviews. They found that the sentiments extracted from Twitter improve forecasting power. Liu, Huang, An, and Yu (2007) collected blogs using Google's blog search engine and the box office revenue data from the IMDB website to explore the forecasting power of blogs. They forecasted product sales utilizing an auto-regressive sentiment-aware model and the sentiment information obtained from a sentiment-based probabilistic latent semantic analysis. Archak, Ghose, and Ipeirotis (2011) used the programming interface provided by AmazonWeb Services to collect daily product prices and product ratings from consumer reviews on Amazon and combined natural language processing and crowdsourcing on Amazon Mechanical Turk to extract opinions from online reviews and to model a linear equation with product reviews. They demonstrated that textual data in product reviews could be used to determine consumers' relative preferences for different product features and thereby forecast future changes in sales. Different from most existing research which uses online reviews to forecast box office sales and sales of digital products, our research focuses on the automotive industry and uses the sentiment index to extend the Bass model to forecast product sales.
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کلمات کلیدی:
Product sales forecasting using online reviews and historical sales data econpapers.repec.org/RePEc:eee:jbrese:v:74:y:2017:i:c:p:90-100 by ZP Fan - 2017 Apr 8, 2017 - By Zhi-Ping Fan, Yu-Jie Che and Zhen-Yu Chen; Abstract: Online reviews provide consumers with rich information that may reduce their ... 9. Product sales forecasting using online reviews and historical ... - 首页 en.ahau.findplus.cn/?h=articles&db=edselp&an... Translate this page Title: Product sales forecasting using online reviews and historical sales data: A method combining the Bass model and sentiment analysis. Authors: Fan, Zhi- ... 9. Product sales forecasting using online reviews and historical ... - 首页 en.ahau.findplus.cn/?h=articles&db=edselc&an=edselc.2... Translate this page Title: Product sales forecasting using online reviews and historical sales data: A method combining the Bass model and sentiment analysis. Authors: Fan, Z.-P. A survey on retail sales forecasting and prediction in ... - ResearchGate https://www.researchgate.net/.../271205922_A_survey_on_retail_sales_forecasting_and... Apr 21, 2015 - Accepted author version posted online: 17 Dec 2014.Published online: .... panies have to deal with a lack of historical sales data. Motivated by this .... review of the actual sate of fashion sales forecasting, how-. ever, with the ... Using online search data to forecast new product sales (PDF ... https://www.researchgate.net/.../220196824_Using_online_search_data_to_forecast_new... Using online search data to forecast new product sales ... Article history: Received 19 April .... word-of-mouth, including online conversations, reviews, opinion. A survey on retail sales forecasting and prediction in fashion markets ... www.tandfonline.com/doi/full/10.1080/21642583.2014.999389 by S Beheshti-Kashi - 2015 - Cited by 8 - Related articles Other review papers on sales forecasting do not consider user-generated ..... The model is tested with real data from the South Korean broadband internet .... for the current year and is based on historical sales data and information related to ... Analytics in Online Flash Sales: Demand Forecasting and Price ... https://www.informs.org/...Review/Analytics-in-Online-Flash-Sales-Demand-Forecasti... Dec 11, 2015 - ... Review; Analytics in Online Flash Sales: Demand Forecasting and Price Optimization. Analytics in Online Flash Sales: Demand Forecasting and Price Optimization ... for first exposure styles; we then use this demand prediction data as ... and predicting demand for styles that have no historical sales data. [PDF]Sales Forecasting in Apparel and Fashion Industry: A Review - Springer www.springer.com/cda/content/document/cda.../9783642398681-c2.pdf?SGWID... review of the literature of simulations of supply combined with a forecasting ..... is thus possible to use historical data of similar products to estimate the sales ... Sales Forecasting for Fashion Retailing Service Industry: A Review https://www.hindawi.com/journals/mpe/2013/738675/ by N Liu - 2013 - Cited by 33 - Related articles Oct 5, 2013 - These, together with the fact that fashion retailers are carrying a large number of stock-keeping-units (SKUs) with limited historical sales data, ...
