Department of Computer Science (PG)

Permanent URI for this communityhttps://dspace.psgrkcw.com/handle/123456789/146

Browse

Filters

20202

Settings

Author: search.filters.author.Anitha GStart date: 2020

Search Results

Now showing 1 - 2 of 2
  • No Thumbnail Available
    Item
    CHATBOTS USING DEEP NEURAL NETWORK
    (Parishodh Journal, 2020-03) Pavithreja V; Gomathi S; Anitha G
    Businesses which presence across the globe running with a manpower of 5,000+ employees have several queries to enquire with HR like the salary package, the leave details, work enquiry and performance. The chatbots can juggle many basic, day-to-day HR tasks with ease, freeing up the HR professionals to focus on complex tasks that require in-depth expertise. Chatbots unlike answering randomly it acts wisely and analyze the message before conveying with the employees. The information provided by the chatbots will be ground truth. These chatbots that provide the exact information are trained by the set of queries using the ‘Deep Neural Networks’ and NLP. The NLP is used to tokenize and stemming the sentences in python using nltk to parse the messages. The entity prediction is done using the Deep Neural Networks in python using tensorflow module. The chatbot trained is then carried out to life in the Slack messaging app through python.
  • No Thumbnail Available
    Item
    PRODUCT RECOMMENDATION IN MARKET BASKET ANALYSIS
    (Parishodh Journal, 2020-03) Anitha G; Kavin Mozhi T
    Market Basket Analysis plays an important role in analytics. It is used in the retail showrooms to determine the place and sales of products, promotion for different types of customers to improve customer satisfaction and increase the profit of the retailers.This study deals with the concept of market basket analysis with the Apriori algorithm. The concept of the Apriori algorithm is to identify all the frequent itemsets. Through these frequent sets, able to derive association rules, these rules must satisfy minimum support threshold and minimum confidence threshold. It allows retailers to determine the relationship between the items that are purchased by their customers.