Keywords : sentiment analysis


Comparative Study of Product Sales Forecasting Methods

Priya Alagu Dharshini M.; Antelin Vijila S.

International Research Journal on Advanced Science Hub, 2021, Volume 3, Issue Special Issue 7S, Pages 117-124
DOI: 10.47392/irjash.2021.220

Sales forecasting plays a significant role in the development and success of consumer-oriented companies. Sales forecasting without high accuracy generates massive losses to the companies. To avoid losses, the company should focus on the factors which are affecting the sales forecasting. Nowadays people prefer e-commerce websites for purchasing products and they give online reviews and ratings about the products. These online reviews are used for computing the sentiment index which is necessary for sales forecasting. This paper surveys the different state-of-the-art sales forecasting techniques with different approaches. This survey also focused the sentiment analysis to predict sales forecasting.  

Sentiment Analysis of Twitter Data

Sanjay Rai; Goyal S. B; Jugnesh Kumar

International Research Journal on Advanced Science Hub, 2020, Volume 2, Issue Special Issue ICSTM 12S, Pages 56-61
DOI: 10.47392/irjash.2020.261

The World Wide Web has taken seriously new ways for individuals to convey their views and conclusions on different topics, models and issues. Clients create content that resides in a variety of media, such as web gathering, conversation gathering, and weblogs, and provide a solid and generous foundation for gaining momentum in different areas such as advertising and research. Policy, logic research, market forecasts and business outlook. Hypothesis research extracts inferences from information available online and orders the emotions that the author conveys for a particular item into up to three predefined categories (good, negative, and unbiased). Identify the problem. This article outlines a hypothesis review cycle for quickly ordering unstructured news on Twitter. In addition, we are exploring different ways to perform a detailed emotional survey on Twitter News. In addition, it presents a parametric correlation of strategies considered according to recognized boundaries. This work tends to make the case enjoy investigating on Twitter; The values communicated in them represent the tweets: positive, negative or fair. Twitter is an online thumbnail that contributes to a blog and a wide range of interactions, allowing customers to create short 140-character short instructions. It is a fast growing association with more than 200 million subscribers, of which 100 million are dynamic customers and half of them constantly sign up for Twitter, generating around 250 million tweets every day. Due to this overwhelming use, we plan to achieve a biased impression of the public by breaking the estimates communicated in the tweets. Researching public opinion is important for some applications, for example, when companies are looking to respond to their material, predict political careers, and anticipate economic wonders like stock trading. The function of this to build a useful classifier for the command in a precise and programmed way of the stream of fuzzy tweets.