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Prediction of Business Trend Using Sentiment Analysis on Social Media’s Data

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dc.contributor.author Mafidul Islam, Md.
dc.contributor.author Mehedi, Mahfujur Rahman
dc.date.accessioned 2020-10-05T15:13:55Z
dc.date.available 2020-10-05T15:13:55Z
dc.date.issued 2019-12-10
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/4577
dc.description Social media has huge information and typically use for social interaction and access to news, entertainment and opinion. Collected information is an important part of our daily life which can surveillance our daily activities such as ourselves, bathing, dressing, grooming, work, homemaking, and leisure. Daily we search what is new today or scrolling website for new story. Sentiment analysis can understand what we want or what types of products we like. Then that company show us related advertisements. Sentiment analysis is a natural language process which can analyze text analysis, classification and identify our opinion. It can be possible machine learning algorithm or different types of natural languages processing classifier. Every post means a special theme and their post sentences have distinctive meaning. Each sentence describes positive, negative or neutral which express people in the social media. We need to extract this opinion. Already many projects have been done in this related field especially business, politics, sports, publications with machine learning approaches. They have been done product review, popularity and decision making by using their post, comment, hashtag etc. from social media. So, sentiment analysis is very important for natural language processing. Current world business pattern and trend continuously changes. Businessman should update their business pattern or grow up new business which people like most. People through opinion subconsciously new business trend or what their demand in the social media. There are more than 3 billion people use social media that means 40% of people use social media. Most of the people use Facebook, twitter to express their thoughts, opinions and blogging. It is very suitable to take data from social media and research with this data. en_US
dc.description.abstract Social media is the largest platform to share opinion. This opinion has a great effect on business field. Because this opinion analysis will tell about one thing how much positive, negative or natural the human demand on it. Currently for Business sentiment analysis research is noticeably large, inclusive of a range of supervised studying method of classification outcome and the text characteristics depiction formula and feature choice implementation and other elements effect on the classification performance is a big problem. Sentiment analysis is research natural language processing and opinion mining. In this paper deliver an ideal decision-making process for data using predictive analysis to social media data and different types of blog data. Machine learning provides a concepted approach for developing sophisticated and automatic algorithms to analyze high- dimensional and multimodal business analytical data. This study focuses on how social media data, machine learning algorithm (Naive Bayes) and classifier find out our upcoming trend. en_US
dc.language.iso en en_US
dc.publisher Daffodil International University en_US
dc.subject Business en_US
dc.subject Social Media en_US
dc.subject Social prediction en_US
dc.title Prediction of Business Trend Using Sentiment Analysis on Social Media’s Data en_US
dc.type Other en_US

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