Mining Twitter Data for Business Intelligence Using Naive Bayes Algorithm for Sentiment Analysis

Today social media has grown to be a big player in the way businesses and organizations operate, especially with the coronavirus pandemic increasing the online footprint of organizations. The use of data from social media to drive business intelligence is now of growing interest to both researchers and business owners. Business owners can now utilize platforms like Twitter to learn about their target audience and improve their business processes to meet their growing needs. Twitter makes it easy to see what is going or about to go viral and vital details like why it is going viral and the players behind it. This research aims to help business owners’ especially small and medium enterprises and start-ups gain a competitive advantage in their industry by using the "crowd wisdom" opportunity via social media. The proposed system is based on Twitter and crawls the platform for relevant data, including; locations, trends, and important actors (influencers) within a specified field; the system cleans the data and presents the information in an actionable format. Python was used for Twitter data mining, and sentiment analysis of the tweets was done using Naive Bayes classifiers

Development of a Color Tutoring System on Smart Phone for Children Enhanced Learning

In the meantime, smart phones are the most popular device in the globe, as it is still in evolvement and advancement. Almost everybody has a personal smart phone device in the recent. One of the potentials of these smart phones is to run a diversity of applications, making handlers to use it most of the time as well as for discharging their daily tasks. The aim of this study is to develop an expert system running on android smart phones. This paper is an expert system for color tutoring in nursery and primary schools. An application which emphasizes the use of color in teaching nursery grade to primary pupils developed in Java on Android using a service-oriented architecture. The system runs on mobile devices and offers smart features that evaluates and uses color and picture to select and describe different types of entities and real world vegetation and surroundings. Equations of life can be easily seen in pictures since colors are very noticeable and the eyes tend to float back and forth on paintings. The system will use a rule-based engine and scripting environment implemented in Java which reasons with the use of knowledge databases implemented as declarative rules

An Academic Live Streaming Multimedia for Video and Audio Workshop

This work creates unlimited privileges for academic users to access videos and audio contents for educational, entertainment, advertisement and other purposes. It allows users to become fully absorbed in its multimedia content by utilizing a variety of multimedia elements such as audio and video elements and its technologies. It creates a support for user reaction, it also provides statistical support to track the period when users listened to an audio or video content. It also provides a functionality for representing speech from audio or video content in text