The Factors Affecting the Usefulness of Information on the Purchase Intention with the Mediating Role of Up-to-Date Information on Instagram
Faranak Seyedi,
Kiyana Hatamnezhad,
Pourya Heydari
Issue:
Volume 6, Issue 2, December 2021
Pages:
16-23
Received:
16 July 2021
Accepted:
2 August 2021
Published:
5 November 2021
Abstract: Social media has completely revamped the way people communicate, interact and engage with each other. The most important is this platform plays a main role in facilitating greater influence. Most studies on social influencer marketing techniques have focused on identifying the features of social media influencers whereas little is known about the electronic Word-of-mouth promotion of products. The present experimental study investigated the factors affecting the usefulness of information on Instagram on the clothing purchase intention with the mediating role of up-to-date information on Instagram as a famous and practical social media in today's world. The study was conducted on 10 clothing stores that sell their products through Instagram. In simple random sampling method with the help of the NinjaGram robot has been used. The questionnaire was prepared electronically which are 384 people. SPSS and LISREL software was used to analyze the data. The results show that the attitude of using Instagram has a direct positive effect on the usefulness of information, the level of risk-taking, and the level of self-confidence on the intention to buy on Instagram. In addition, the usefulness of information affects the Up-to-date information on Instagram and up-to-date information has a direct positive effect on creating the intention to buy on Instagram.
Abstract: Social media has completely revamped the way people communicate, interact and engage with each other. The most important is this platform plays a main role in facilitating greater influence. Most studies on social influencer marketing techniques have focused on identifying the features of social media influencers whereas little is known about the e...
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Implementing Auto Highlight Writer by Predicting the Best and the Worst Players in a Baseball Game
Issue:
Volume 6, Issue 2, December 2021
Pages:
24-30
Received:
23 September 2021
Accepted:
15 October 2021
Published:
17 November 2021
Abstract: To discover any biases that the sports media have, such as preferring and mentioning certain teams more often impartially, we recorded the statistics of Toronto Blue Jays players, and also collected the news and highlights articles of the team. Because baseball especially regards statistics as significant, the project tried to determine whether the medias’ focus on certain players is related to their performance or their fame and popularity in the first part of the project. The project first created a word cloud based on the keywords from the game highlights articles. In the statistics, we chose the best and worst player of the day for every game solely based on the statistics, and one interesting point we found was that some of the players who were chosen the most as the best player were also chosen often as the worst player depending on the day. We compared the list of names mentioned most often from the news and the ones we chose, and the two had some names in common while there were also questionable names from the news. Then, to develop a machine learning model that will select the player of the game after analyzing the statistics, we used a heatmap to identify the key factors of choosing the best player. According to the heatmap, for a batter, key elements were RBIs and hits, while for a pitcher, it was Innings Played and Runs allowed. We tested multiple machine learning models to see which model had the highest accuracy, and after several trials, a model named Logical Regression appeared to predict the player of the game based on statistics most accurately. Also, a sentence bank was created for the computer program. A sample sentence was provided to the program so that the program can put the statistics of each game in the sentence and write a written summary. With a sentence each for each player, the program could write a summary of every player, and also pick and write who the best and worst players of the game were.
Abstract: To discover any biases that the sports media have, such as preferring and mentioning certain teams more often impartially, we recorded the statistics of Toronto Blue Jays players, and also collected the news and highlights articles of the team. Because baseball especially regards statistics as significant, the project tried to determine whether the...
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Classification of Breast Cancer Image Using Data Mining Techniques
Mohamed Alhag Alobed,
Ali Ahmed,
Ashraf Osman Ibrahim
Issue:
Volume 6, Issue 2, December 2021
Pages:
31-35
Received:
12 October 2021
Accepted:
1 November 2021
Published:
25 November 2021
Abstract: Breast cancer is the most common malignancy disease that affects female population and the number of affected people is the second most common leading cause of cancer deaths among all cancer types in the developing countries. Mammography is the most effective method for detection of early breast cancer to increase the survival rate. This paper presented the classification method for mammogram Image using the decision tree techniques. Three measures were used to evaluate performance in terms of accuracy, sensitivity, and privacy. The aim of the study is to determine the best decision tree classifier for medical datasets classification. The study emphasizes five phases; starting with collecting images, pre-processing (image cropping of ROI), features extracting, classification and end with testing and evaluating. Experimental results show that Random Forest has a better performance than ID3, J48.
Abstract: Breast cancer is the most common malignancy disease that affects female population and the number of affected people is the second most common leading cause of cancer deaths among all cancer types in the developing countries. Mammography is the most effective method for detection of early breast cancer to increase the survival rate. This paper pres...
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