Comparison of Runtime Performance Optimization Using Template-Metaprogramming

Patel, Vivek; Mishra, Piyush; Patni, Jagdish Chandra; Mittal, Parul

doi:10.1007/978-981-10-8657-1_11

Cited by 4 publications

(3 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With the appearance of social media and blogs, the worth of text-based data continues to extend. The sensible application of extract worth from text is increasing seen in areas like click-based internet promoting, client segmentation, and sentiment analysis of Twitter and Facebook comments [1,13,14]. The matter in analyzing an oversized corpus of text is to get the structure and arrangement of words at intervals the info so as to research the corpus exploitation machine ways.…”

Section: Natural Language Processingmentioning

confidence: 99%

Real Time Linguistic Analysis using Natural Language Processing

Patni*,

Singh,

Sharma

2020

IJRTE

View full text Add to dashboard Cite

There are plenty of analysis done on linguistic communication process to develop and improve systems that square measure a lot of human, which will perceive easy directions. There are many research organizations working on different projects of NLP. This paper can function as the premise of connecting likeminded folks primarily based upon their thoughts, their interests the ideas they share. In an exceedingly layman's language this is able to work on a true time basis, currently primarily based upon the user response linguistic communication process Techniques are enforced and in real time thoughts are matched with someone of vertical having interests and thoughts just like ours so, it might operate like connecting us with a world of our own. This paper aims at providing associate surroundings wherever like individuals move with individuals of their kind in order that they speak solely purposeful and zilch out of context by developing a Natural Language Processing based Linguistic Analysis system.

show abstract

Section: Natural Language Processingmentioning

confidence: 99%

Real Time Linguistic Analysis using Natural Language Processing

Patni*,

Singh,

Sharma

2020

IJRTE

View full text Add to dashboard Cite

show abstract

“…The constraints of conventional security administration innovations are getting to be more genuine given this exponential development of new security dangers, quick changes of new IT advancements, and noteworthy deficiency of security experts. A large portion of these assaulting methods is acknowledged through spreading traded off URLs [9,10] (or the spreading of such URLs frames a basic some portion of the assaulting activity). URL is the condensing of Uniform Resource Locator, which is the worldwide address of records and different assets on…”

Section: Fig11 Screenshot Of a Phishing Websitementioning

confidence: 99%

Phishing Attack Detection using Machine Learning

Patni*,

Sharma

2020

IJITEE

View full text Add to dashboard Cite

There are number of customers who buy items on the web and make installment through different websites. There are various websites who request that client give delicate information, for example, username, secret word or master card points of interest and so on regularly for noxious reasons. This sort of websites is known as phishing site. With a specific end goal to identify and foresee phishing site, we proposed an astute, adaptable and successful framework that depends on utilizing characterization Data mining calculation. We actualized arrangement calculation and strategies to extricate the phishing informational collections criteria to order their authenticity. The phishing site can be identified in light of some imperative attributes.This application can be utilized by numerous E-trade endeavors to influence the entire exchange to process secure. Information mining calculation utilized as a part of this framework gives better execution when contrasted with other conventional orders calculations. With the assistance of this framework client can likewise buy items online with no delay. Administrator can include phishing site url or phony site url into framework where framework could access and sweep the phishing site and by utilizing calculation, it will add new suspicious watchwords to database. System utilizes machinelearning method to include new catchphrases into database.

show abstract

“…The proposed work utilizes number of steps, for example, accumulation of movie audits datasets, pre-handling, include choice, order strategies. Result demonstrates that list technique gives better execution with SVM for arrangement for vast amount of dataset and Correlation based component choice with SVM for the little amount of dataset [15]. Bogdon Batrinca "unpublished" proposed a plan of programming device for internet-based life, web journals, talks, newsfeeds and so on and how to utilize them for scratching, purifying and analyzing [4].…”

Section: Related Workmentioning

confidence: 99%

Feature-Based Opinion Mining and Managed Machine Learning with Sentiment Classification Models

Patni,

Garg,

Romika

et al. 2019

IJEAT

View full text Add to dashboard Cite

Sentiment Analysis is individuals' opinions and feedbacks study towards a substance, which can be items, services, movies, people or events. The opinions are mostly expressed as remarks or reviews. With the social network, gatherings and websites, these reviews rose as a significant factor for the client’s decision to buy anything or not. These days, a vast scalable computing environment provides us with very sophisticated way of carrying out various data-intensive natural language processing (NLP) and machine-learning tasks to examine these reviews. One such example is text classification, a compelling method for predicting the clients' sentiment. In this paper, we attempt to center our work of sentiment analysis on movie review database. We look at the sentiment expression to order the extremity of the movie reviews on a size of 0(highly disliked) to 4(highly preferred) and perform feature extraction and ranking and utilize these features to prepare our multilabel classifier to group the movie review into its right rating. This paper incorporates sentiment analysis utilizing feature-based opinion mining and managed machine learning. The principle center is to decide the extremity of reviews utilizing nouns, verbs, and adjectives as opinion words. In addition, a comparative study on different classification approaches has been performed to determine the most appropriate classifier to suit our concern problem space. In our study, we utilized six distinctive machine learning algorithms – Naïve Bayes, Logistic Regression, SVM (Support Vector Machine), RF (Random Forest) KNN (K nearest neighbors) and SoftMax Regression.

show abstract

Comparison of Runtime Performance Optimization Using Template-Metaprogramming

Cited by 4 publications

References 2 publications

Real Time Linguistic Analysis using Natural Language Processing

Real Time Linguistic Analysis using Natural Language Processing

Phishing Attack Detection using Machine Learning

Feature-Based Opinion Mining and Managed Machine Learning with Sentiment Classification Models

Contact Info

Product

Resources

About