TweetNorm: a benchmark for lexical normalization of Spanish tweets
The language used in social media is often characterized by the abundance of informal and
non-standard writing. The normalization of this non-standard language can be crucial to …
non-standard writing. The normalization of this non-standard language can be crucial to …
FINCHAN: A grammar-based tool for automatic comprehension of financial instant messages
A Ade-Ibijola - Proceedings of the Annual Conference of the South …, 2016 - dl.acm.org
Instant messaging (IM) has gained huge popularity, not only in the social space, but in many
sectors of work and everyday life. One such sector is finance, where IMs are used for …
sectors of work and everyday life. One such sector is finance, where IMs are used for …
An approach to subjectivity detection on Twitter using the structured information
In this paper, we propose an approach to the subjectivity detection on Twitter micro texts that
explores the uses of the structured information of the social network framework. The …
explores the uses of the structured information of the social network framework. The …
Context-sensitive normalization of social media text in bahasa Indonesia based on neural word embeddings
We present our work in the normalization of social media texts in Bahasa Indonesia. To
capture the contextual meaning of tokens, we create a neural word embeddings using …
capture the contextual meaning of tokens, we create a neural word embeddings using …
Improving the sentiment analysis process of Spanish Tweets with BM25
The enormous growth of user-generated information of social networks has caused the need
for new algorithms and methods for their classification. The Sentiment Analysis (SA) …
for new algorithms and methods for their classification. The Sentiment Analysis (SA) …
Analysis of the structured information for subjectivity detection in twitter
In this paper, we analyze the opportunities of the structured information of the social
networks for the subjectivity detection on Twitter micro texts. The sentiment analysis on …
networks for the subjectivity detection on Twitter micro texts. The sentiment analysis on …
PhD thesis: SQL Comprehension and Synthesis
G Obaido - arxiv preprint arxiv:2203.03469, 2022 - arxiv.org
Structured Query Language (SQL) remains the standard language used in Relational
Database Management Systems (RDBMSs) and has found applications in healthcare …
Database Management Systems (RDBMSs) and has found applications in healthcare …
[PDF][PDF] Regularized Deep Neural Network for Post-Authorship Attribution
A Modupe - 2024 - wiredspace.wits.ac.za
Post-authorship attribution is the computational process of determining the legitimate author
of an online text snippet, such as an email, blog, forum post, or chat log, by employing …
of an online text snippet, such as an email, blog, forum post, or chat log, by employing …
[PDF][PDF] Multilingual sentiment analysis in social media
ISV Roncal - 2019 - orai.eus
4 Method Comparison 55 4.1 Introduction.............................. 56 4.2 State of the
Art............................ 56 4.3 Lexicon Building methods....................... 57 4.3. 1 …
Art............................ 56 4.3 Lexicon Building methods....................... 57 4.3. 1 …
[PDF][PDF] DeustoTech Internet at TASS 2015: Sentiment analysis and polarity classification in spanish tweets
A Almeida - Comité organizador, 2015 - core.ac.uk
This article describes our system presented at the workshop for sentiment analysis TASS
2015. Our system approaches the task 1 of the workshop, which consists on performing an …
2015. Our system approaches the task 1 of the workshop, which consists on performing an …