Text data is important for many domains, from healthcare to marketing to the digital
humanities, but specialized approaches are necessary to create features for machine …

Open-source software packages for language processing often include stop word lists.
Users may apply them without awareness of their surprising omissions (eg “hasn't” but not …

The concept of “Stopword” was first introduced by HP Luhn in 1958. In Natural Language
Processing (NLP), Stop word is a common word that is neither indexed nor searchable in a …

One of the most widely used approaches in natural language processing and information
retrieval is the so-called bag-of-words model. A common component of such methods is the …

Businesses use the platform economy and electronic word-of-mouth generated by online
reviews to attract consumers. Based on the communication accommodation theory, we …

Over the past decades systems for automatic management of electronic documents have
been one of the main fields of research. Text processing is a wide area that includes many …

This paper presents a process of building a Sentiment Analysis Framework for Serbian
(SAFOS). We created a hybrid method that uses a sentiment lexicon and Serbian WordNet …

Nowadays, several news portals, government websites, and social media sites are
generating a massive amount of digitalized Hindi textual information. Stopword removal is a …

In the last few years, electronic documents have been the main source of data in many
research areas like Web Mining, Information Retrieval, Artificial Intelligence, Natural …

[目的] 通过实验对比分析, 比较不同停用词表对于不同类型的文本数据的作用效果,
对停用词表的构建与使用提供参考意见.[方法] 选取百度停用词表, 哈尔滨工业大学停用词表以及 …