Results 41 to 50 of about 5,622,932 (269)
Nature Reviews Methods PrimersText analysis has undergone substantial evolution since its inception, moving from manual qualitative assessments to sophisticated quantitative and computational methods. Beginning in the late twentieth century, a surge in the utilization of computational techniques reshaped the landscape of text analysis, catalysed by advances in computational power ...
Kristoffer L. Nielbo +6 more
openaire +6 more sources
Text Analytics for Android Project [PDF]
, 2014 Most advanced text analytics and text mining tasks include text classification, text clustering, building ontology, concept/entity extraction, summarization, deriving patterns within the structured data, production of granular taxonomies, sentiment and ...
Abul Seoud +21 more
core +1 more source
AgricultureDespite longstanding concerns about regional inequalities in both national and EU policy, the concept of ‘left-behindness’ has gained prominence in public and political discourse due to widening social and spatial disparities.
Cristóbal Mendoza +1 more
doaj +1 more source
DSText V2: A Comprehensive Video Text Spotting Dataset for Dense and Small Text [PDF]
Pattern Recognition 2023/2024, 2023 Recently, video text detection, tracking, and recognition in natural scenes are becoming very popular in the computer vision community. However, most existing algorithms and benchmarks focus on common text cases (e.g., normal size, density) and single scenario, while ignoring extreme video text challenges, i.e., dense and small text in various ...
arxiv
Text Classification For Authorship Attribution Analysis
, 2013 Authorship attribution mainly deals with undecided authorship of literary texts. Authorship attribution is useful in resolving issues like uncertain authorship, recognize authorship of unknown texts, spot plagiarism so on. Statistical methods can be used
Elayidom, M. Sudheep +3 more
core +1 more source
The Role of Text Pre-processing in Sentiment Analysis [PDF]
, 2013 It is challenging to understand the latest trends and summarise the state or general opinions about products due to the big diversity and size of social media data, and this creates the need of automated and real time opinion extraction and mining ...
Haddi, E, Liu, X, Shi, Y
core +1 more source
Text Analysis and Text Created in Grammar Learning [PDF]
, 2015 The complain of the lecturers on English students' grammar reflected in their understanding of reading text and their writing product stimulated grammar lecturers to find out the ways to make students use the grammar learned.
Syarif, H. (Hermawati)
core
Assessing Banks' Distress Using News and Regular Financial Data
Frontiers in Artificial Intelligence, 2022 In this paper, we focus our attention on leveraging the information contained in financial news to enhance the performance of a bank distress classifier. The news information should be analyzed and inserted into the predictive model in the most efficient
Paola Cerchiello +3 more
doaj +1 more source
Capturing semantic features to improve Chinese event detection
CAAI Transactions on Intelligence Technology, 2022 Current Chinese event detection methods commonly use word embedding to capture semantic representation, but these methods find it difficult to capture the dependence relationship between the trigger words and other words in the same sentence.
Xiaobo Ma, Yongbin Liu, Chunping Ouyang
doaj +1 more source
Neural Text Sanitization with Privacy Risk Indicators: An Empirical Analysis [PDF]
arXiv, 2023 Text sanitization is the task of redacting a document to mask all occurrences of (direct or indirect) personal identifiers, with the goal of concealing the identity of the individual(s) referred in it. In this paper, we consider a two-step approach to text sanitization and provide a detailed analysis of its empirical performance on two recently ...
arxiv