Short text topic modeling techniques, applications, and performance: a survey
Analyzing short texts infers discriminative and coherent latent topics that is a critical and
fundamental task since many real-world applications require semantic understanding of …
fundamental task since many real-world applications require semantic understanding of …
Query expansion techniques for information retrieval: a survey
With the ever increasing size of the web, relevant information extraction on the Internet with
a query formed by a few keywords has become a big challenge. Query Expansion (QE) …
a query formed by a few keywords has become a big challenge. Query Expansion (QE) …
Emotion recognition by textual tweets classification using voting classifier (LR-SGD)
The proliferation of user-generated content on social media has made opinion mining an
arduous job. As a microblogging platform, Twitter is being used to collect views about …
arduous job. As a microblogging platform, Twitter is being used to collect views about …
Topic modeling for short texts with auxiliary word embeddings
For many applications that require semantic understanding of short texts, inferring
discriminative and coherent latent topics from short texts is a critical and fundamental task …
discriminative and coherent latent topics from short texts is a critical and fundamental task …
[图书][B] Multilabel classification
This book is concerned with the classification of multilabeled data and other tasks related to
that subject. The goal of this chapter is to formally introduce the problem, as well as to give a …
that subject. The goal of this chapter is to formally introduce the problem, as well as to give a …
A pattern-based approach for sarcasm detection on twitter
M Bouazizi, TO Ohtsuki - IEEE Access, 2016 - ieeexplore.ieee.org
Sarcasm is a sophisticated form of irony widely used in social networks and microblogging
websites. It is usually used to convey implicit information within the message a person …
websites. It is usually used to convey implicit information within the message a person …
Semantic expansion using word embedding clustering and convolutional neural network for improving short text classification
Text classification can help users to effectively handle and exploit useful information hidden
in large-scale documents. However, the sparsity of data and the semantic sensitivity to …
in large-scale documents. However, the sparsity of data and the semantic sensitivity to …
Short-text topic modeling via non-negative matrix factorization enriched with local word-context correlations
Being a prevalent form of social communications on the Internet, billions of short texts are
generated everyday. Discovering knowledge from them has gained a lot of interest from both …
generated everyday. Discovering knowledge from them has gained a lot of interest from both …
Text mining
T Jo - Studies in Big Data, 2019 - Springer
This book is concerned with the concept, the theories, and the implementations of text
mining. In Part I, we provide the fundamental knowledge about the text mining tasks, such as …
mining. In Part I, we provide the fundamental knowledge about the text mining tasks, such as …
Response to COVID-19 pandemic: where do public libraries stand?
BM Alajmi, D Albudaiwi - Public Library Quarterly, 2021 - Taylor & Francis
This paper aims to identify how public libraries used Twitter in the initial months after the
outbreak of the COVID-19 pandemic. Content analysis was performed on a dataset of 9,450 …
outbreak of the COVID-19 pandemic. Content analysis was performed on a dataset of 9,450 …