People put their opinions or views on various events happening in the society or world. Twitter is one of the best social networking sites where a huge amount of data generates on the daily basis. These data can be used to classify their tweets based on various sentiments attached to them. Numerous technologies are applied to analyse the sentiments of users. Sentiment analysis needs a very efficient method to manage long arrangement data and their drawn-out dependencies. In this paper, we have applied a deep learning technique to perform Twitter sentiment analysis. Simple Neural Network, Long Short-Term Memory (LSTM), and Convolutional Neural Network (CNN) methods are applied for the sentiment analysis and their performances are evaluated. The LSTM is the best among all proposed techniques with the highest accuracy of 87%. We have collected a Twitter dataset from Kaggle to perform our experiment. The future improvement of the proposed research should include REST APIs and web crawling-based solutions to get live tweets to perform real-time analytics. We have analysed 1.6 million tweets in our research work.
Abstract-The reliability of a software depends on the quality. So, the software growth models require efficient quality assessment procedure. It can be estimated by various parameters. The current paper proposes a novel approach for assessment of quality based on the Generalized Weighted Laplacian (GWL) method. The proposed method evaluates various parameters for detection and removal time. The Mean Value Function (MVF) is then calculated and the quality of the software is estimated, based on the detection of failures. The proposed method is evaluated on process CMMI level 5 project data and the experimental results shows the efficiency of the proposed method.Index Terms-Quality Assessment, Software Reliability Growth Models, residual fault, fault detection rate and NHPP.
Abstract-Small programming consultancy organizations need to use their position in the market to remain in front of their rivals. Keeping in mind the end goal to survive, the arrangements gave by their experts must be of such quality that makes their clients come back to the organization when they require help with another venture, and the arrangements ought to guarantee a decent notoriety for the organization that draws in new clients. To guarantee high caliber in the frameworks created, organizations are subject to a decent programming improvement process. The principle parts of this procedure can be arranged out ahead of time and utilized on the whole in a firm with a specific end goal to guarantee quality, yet in each venture you will most likely keep running into circumstances where it is imperative to have the capacity to extemporize so as to keep the venture on tracks. This is particularly valid for little programming escalated organizations in turbulent conditions. Keywords-competitors, consultants, software, environments I. INTRODUCTIONIn these circumstances encounter assume a noteworthy part in adapting to the diverse difficulties [1].Experienced engineers perceive a wide range of issues and regularly know the suitable arrangements straight away. For new engineers be that as it may, this is frequently not the situation. Additionally if the organization is reliant on staying spry and changing their procedure as per the requests of their clients, the accomplished engineers may free their capacity to see the best arrangement. In these conditions an organization needs to have a decent system to deal with their aggregate information.Wickert and Herschel [2] inspect different difficulties that private companies confront while actualizing information administration [3] endeavors. Private ventures regularly don't have sufficient energy and assets that bigger organizations need to actualize expansive information administration endeavors, yet they are more defenseless against learning disintegration through leaving of key workers. In such a domain it ends up noticeably fundamental to share information to avert learning disintegration and remaining up and coming. One proposed arrangement is tutoring programs which can have an impact in utilizing individual learning and sharing information between ventures. Such projects can frequently be more compelling than preparing and composed documentation [4].In this paper we portray a progressing research venture to enhance the guide program in a little consultancy organization. The primary reason for the coach program in this organization is information exchange, especially concerning the product improvement process and venture administration. We have concentrated on how the tutor program bolsters learning, and changes that could build the learning impact of the program.The association of the paper is as per the following: First, we show hypothesis on tutor projects and learning as a piece of coaching. At that point, we show the exploration approach utilized as a part of ...
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