Online ISSN: 2515-8260

Keywords : Data Analysis

Analytical Study of Fund Flow Statements in an Organization using Data Analysis Method

Amit Agrawal

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 589-597

Fund Flow Statements abridge a firm’s arrival and address of funds. Simply put, it tells investors area funds accept appear from and area funds accept gone. The statements are generally acclimated to actuate whether companies calmly antecedent and advance funds accessible to them.
Fund flow statements are able by demography the antithesis bedding for two dates apery the advantage period. The increases and decreases have to again be affected for anniversary item. Finally, the changes are classified beneath four categories: (1) Abiding sources, (2) abiding uses, (3) concise sources, (4) concise uses. It is as well important to aught out the non-fund-based adjustments in adjustment to abduction alone the changes that are accompanies by flow of funds. However, assets accrued but accustomed and costs incurred but not accustomed reckoned in the accumulation and accident account should not be afar from the accumulation amount for the fund flow statement.
Fund flow statements can be acclimated to analyze a array of problems in the way a aggregation operates. For example, companies that are application concise money to accounts abiding investments may run into clamminess problems in the future. Meanwhile, a aggregation that is application abiding money to accounts concise investments may not be calmly utilizing its capital

Sentimenatl Analysis To Improve Teaching And Learning

K. Sai Tulasi; N. Deepa

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 3, Pages 2194-2200

Today internet is playing a vital role in the modern world. From young aged children to old aged people are utilizing the technology. By the use of this technology to determine the mental taught of the student towards the learning environment the sentimental analysis method is performed. For this they created a separate portal for the student which has unique ID and password for individual one. Inside the web portal it consists of various sets of question and it records the performance of the student towards it. The feedback can be subdivided into three categories mainly positive, negative, and neutral. By using the feedback they can predict the sentiments of the student. By using the machine learning algorithm they can predict the sentiment of the students in the learning aspects. Student sentiment has been get distinguished by the use of the polarity. This is can uses the random forest algorithm. The random forest algorithm can provides the accuracy of about 92% with effective outcome.