Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Application of NLP and ML Using a Refined Dataset

View through CrossRef
Machine Learning (ML) is a technology that can revolutionize the world. It is a technology based on AI (Artificial Intelligence) and can predict the outcomes using the previous algorithms without programming it. For our project, we will take the help of NLP (Natural Language Processing) which will help us to perceive and sort fake/spam comments. Also, we will be using this tool to prevent fake promotion and help people when buying products on E-commerce sites and as well as to avoid fake comments on Social Media Platforms that spread hate among people. This application will create a transparent and safe internet for everyone. Spam-Attack will be using NLP to achieve the goal and create a better ecosystem for browsing the internet.
Title: Application of NLP and ML Using a Refined Dataset
Description:
Machine Learning (ML) is a technology that can revolutionize the world.
It is a technology based on AI (Artificial Intelligence) and can predict the outcomes using the previous algorithms without programming it.
For our project, we will take the help of NLP (Natural Language Processing) which will help us to perceive and sort fake/spam comments.
Also, we will be using this tool to prevent fake promotion and help people when buying products on E-commerce sites and as well as to avoid fake comments on Social Media Platforms that spread hate among people.
This application will create a transparent and safe internet for everyone.
Spam-Attack will be using NLP to achieve the goal and create a better ecosystem for browsing the internet.

Related Results

Introduction to the Tafel v-bis Dataset: Death Duty Summary Information for The Netherlands, 1921
Introduction to the Tafel v-bis Dataset: Death Duty Summary Information for The Netherlands, 1921
Abstract This article introduces a newly constructed dataset (i.e. the Tafel v-bis Dataset) containing summary information for all Dutch citizens who died in 1921 and were subject ...
An Educational News Dataset for Recommender Systems
An Educational News Dataset for Recommender Systems
AbstractDatasets are an integral part of contemporary research on recommender systems. However, few datasets are available for conventional recommender systems and even very limite...
Padova Emotional Dataset of Facial Expressions (PEDFE): A unique dataset of genuine and posed emotional facial expressions
Padova Emotional Dataset of Facial Expressions (PEDFE): A unique dataset of genuine and posed emotional facial expressions
AbstractFacial expressions are among the most powerful signals for human beings to convey their emotional states. Indeed, emotional facial datasets represent the most effective and...
Schubert Winterreise Dataset
Schubert Winterreise Dataset
This article presents a multimodal dataset comprising various representations and annotations of Franz Schubert’s song cycle Winterreise . Schubert’s semina...
Assessing the Performance of a Long Short-Term Memory Algorithm in the Dataset with Missing Values
Assessing the Performance of a Long Short-Term Memory Algorithm in the Dataset with Missing Values
This study was conducted to assess the performance of a long short-term memory algorithm (LSTM), which was suitable for time series prediction, in the multivariate dataset with mis...
State Legislative Elections, 1967–2003: Announcing the Completion of a Cleaned and Updated Dataset
State Legislative Elections, 1967–2003: Announcing the Completion of a Cleaned and Updated Dataset
More than 15 years—nine election cycles—have passed since a comprehensive set of state legislative election data was compiled and made available to researchers and practitioners: t...
A Comparative Study of Some Selected Classifiers on an Imbalanced Dataset for Sentiment Analysis
A Comparative Study of Some Selected Classifiers on an Imbalanced Dataset for Sentiment Analysis
Extracting subjective data from online user generated text documents is made quite easy with the use of sentiment analysis. For a classification task different individual algorithm...
Text Summarization using Ml and Nlp
Text Summarization using Ml and Nlp
Quantity of data produced per day is around 2.5 quintillion bytes. Right now, no one has the time to pursue each and everything. With the growth of technology and digital media, pe...

Back to Top