Identifying human trafficking indicators in the UK online sex market
This study identifies the presence of human trafficking indicators in a UK-based sample of
sex workers who advertise their services online. To this end, we developed a crawling and …
sex workers who advertise their services online. To this end, we developed a crawling and …
Subjective answers evaluation using machine learning and natural language processing
MF Bashir, H Arshad, AR Javed, N Kryvinska… - IEEE …, 2021 - ieeexplore.ieee.org
Subjective paper evaluation is a tricky and tiresome task to do by manual labor. Insufficient
understanding and acceptance of data are crucial challenges while analyzing subjective …
understanding and acceptance of data are crucial challenges while analyzing subjective …
On the integration of similarity measures with machine learning models to enhance text classification performance
Several techniques have long been proposed to enhance text classification performance,
such as: classifier ensembles, feature selection, the integration of similarity measures with …
such as: classifier ensembles, feature selection, the integration of similarity measures with …
A set theory based similarity measure for text clustering and classification
Similarity measures have long been utilized in information retrieval and machine learning
domains for multi-purposes including text retrieval, text clustering, text summarization …
domains for multi-purposes including text retrieval, text clustering, text summarization …
A survey of text matching techniques
Text matching is the process of identifying and locating particular text matches in raw data.
Text matching is a vital component in practical applications and an essential process in …
Text matching is a vital component in practical applications and an essential process in …
Boolean logic algebra driven similarity measure for text based applications
Abstract In Information Retrieval (IR), Data Mining (DM), and Machine Learning (ML),
similarity measures have been widely used for text clustering and classification. The …
similarity measures have been widely used for text clustering and classification. The …
A comparative study of classification and clustering methods from text of books
Book collections in libraries are an important means of information, but without proper
assignment of books into appropriate categories, searching for books on similar topics is …
assignment of books into appropriate categories, searching for books on similar topics is …
An effective assessment of cluster tendency through sampling based multi-viewpoints visual method
Social networks are the rich sources to people for sharing the knowledge on health-related
issues. Nowadays, Twitter is one of the great significant social platforms to the people for a …
issues. Nowadays, Twitter is one of the great significant social platforms to the people for a …
A text mining using web scra** for meaningful insights
This research involves the usage of Machine Learning technology and Natural Language
Processing (NLP) along with the Natural Language Tool-Kit (NLTK). This helps develop a …
Processing (NLP) along with the Natural Language Tool-Kit (NLTK). This helps develop a …
A comparative study of supervised and unsupervised machine learning algorithms on consumer reviews
K Makkar, P Kumar, M Poriye… - 2022 IEEE World …, 2022 - ieeexplore.ieee.org
For any organization involving consumers, reviews and feedbacks are quite important. For
this purpose, the bulk of data is generated from various social networking sites in terms of …
this purpose, the bulk of data is generated from various social networking sites in terms of …