Minimizing of Dextran during Sugar Beet Manufacturing

The most serious processing problem can clear arise from the presence of dextran gum. The presence of dextran in sugar processing leads to less of sucrose and creates problems to sugar producers by increasing viscosity, lowing sugar yield, increasing molasses purities slowing filtration. The application of dextran enzyme to reduce dextran from raw juice was more efficient and economic than adding it to clear juice and syrup. Sixty percent of dextran removal was achieved when dextranase applied at concentration of 20u/100ml raw juice and 30min incubation. The dextran reduction and reached 65% by the use of 30u under some condition in clear juice, the percentage of dextran reduction reached 25,27 and 45% when dextranase enzyme used at 30u /100mol after 10,20 and 30 min of the incubation respectively. The use of the application of dextranase enzyme to reduce dextran from raw juice was more efficient and economic than adding it to clear juice and syrup. Sixty percent of the dextran was removed when using dextranase applications at a concentration of 20u/100ml of raw juice over 30 minutes.

Product Reviews Classifications-A Data Science Approach

Reviewing the product is an important step for e-commerce platforms. Getting reviews from customers and analysis of reviews consumes many resources. As the number of reviews received day by day is increasing very rapidly, reviews should be classified as fake review and Genuine reviews. The total accumulation of reviews and analysis is different from natural language processing problem. Spammers are hired for biased reviewing of products. In this paper we put a novel comparison between purchase list and reviews. We have applied a method for finding duplicate reviews; measure the total numbers of reviews and their mismatch in counts, at the end count dispersion for every product and classification of reviews. We applied data science approach for classification and visualization to get fake reviews. We label the reviews either positive or negative based on comparison between them. A data science approach is applied because for a well-known product the reviews can goes up to many thousands.