[PDF][PDF] A systematic review on stopword removal algorithms
J Kaur, PK Buttar - International Journal on Future Revolution in …, 2018 - researchgate.net
Stopwords, also known as noise words, are the words that contain a little information which
is not usually required. Stopwords were discovered by HP Luhn in 1958. In the domain of …
is not usually required. Stopwords were discovered by HP Luhn in 1958. In the domain of …
How textual quality of online reviews affect classification performance: a case of deep learning sentiment analysis
L Li, TT Goh, D ** - Neural Computing and Applications, 2020 - Springer
Cognitive computing is an interdisciplinary research field that simulates human thought
processes in a computerized model. One application for cognitive computing is sentiment …
processes in a computerized model. One application for cognitive computing is sentiment …
Accuracy of inter-researcher similarity measures based on topical and social clues
G Cabanac - Scientometrics, 2011 - akjournals.com
Scientific literature recommender systems (SLRSs) provide papers to researchers according
to their scientific interests. Systems rely on inter-researcher similarity measures that are …
to their scientific interests. Systems rely on inter-researcher similarity measures that are …
Assessing sentence similarity through lexical, syntactic and semantic analysis
The degree of similarity between sentences is assessed by sentence similarity methods.
Sentence similarity methods play an important role in areas such as summarization, search …
Sentence similarity methods play an important role in areas such as summarization, search …
[PDF][PDF] A framework for sentiment analysis in persian
Sentiment Analysis aims at extracting peoples sentiment, opinion, and appraisal from their
comments in social websites. Most research efforts in the area of sentiment analysis have …
comments in social websites. Most research efforts in the area of sentiment analysis have …
Authorship attribution based on specific vocabulary
J Savoy - ACM Transactions on Information Systems (TOIS), 2012 - dl.acm.org
In this article we propose a technique for computing a standardized Z score capable of
defining the specific vocabulary found in a text (or part thereof) compared to that of an entire …
defining the specific vocabulary found in a text (or part thereof) compared to that of an entire …
Combining sentence similarities measures to identify paraphrases
Paraphrase identification consists in the process of verifying if two sentences are
semantically equivalent or not. It is applied in many natural language tasks, such as text …
semantically equivalent or not. It is applied in many natural language tasks, such as text …
Research on the construction and filter method of stop-word list in text preprocessing
Z Yao, C Ze-wen - 2011 Fourth International Conference on …, 2011 - ieeexplore.ieee.org
In the text preprocessing of text mining, a stop-word list is constructed to filter the segment
results of the text documents so that the dimensionality of the text feature space can be cut …
results of the text documents so that the dimensionality of the text feature space can be cut …
Use of sentiment analysis for capturing hospitalized cancer patients' experience from free-text comments in the Persian language
Abstract Purpose Today, the Internet provides access to many patients' experiences, which
is crucial in assessing the quality of healthcare services. This paper introduces a model for …
is crucial in assessing the quality of healthcare services. This paper introduces a model for …
Modelling search and stop** in interactive information retrieval
DM Maxwell - 2019 - theses.gla.ac.uk
Searching for information when using a computerised retrieval system is a complex and
inherently interactive process. Individuals during a search session may issue multiple …
inherently interactive process. Individuals during a search session may issue multiple …