Complaint Classification using Word2Vec Model
نویسندگان
چکیده
منابع مشابه
Using word2vec for Bilateral Translation
Word and phrase tables are key inputs to machine translations, but costly to produce. New unsupervised learning methods represent words and phrases in a high-dimensional vector space, and these monolingual embeddings have been shown to encode syntactic and semantic relationships between language elements. The information captured by these embeddings can be exploited for bilingual translation by...
متن کاملAutomatic Argumentative-Zoning Using Word2vec
In comparison with document summarization on the articles from social media and newswire, argumentative zoning (AZ) is an important task in scientific paper analysis. Traditional methodology to carry on this task relies on feature engineering from different levels. In this paper, three models of generating sentence vectors for the task of sentence classification were explored and compared. The ...
متن کاملShort Text Classification on Complaint Documents
Indonesian government has developed a system for citizens to voice their aspirations and complaints, which are then stored in the form of short documents. Unfortunately, the existing system employs human annotators to manually categorize the short documents, which is very expensive and time-consuming. As a result, automatically classifying the short documents into their correct topics will redu...
متن کاملSentiment Analysis of Citations Using Word2vec
Citation sentiment analysis is an important task in scientific paper analysis. Existing machine learning techniques for citation sentiment analysis are focusing on labor-intensive feature engineering, which requires large annotated corpus. As an automatic feature extraction tool, word2vec has been successfully applied to sentiment analysis of short texts. In this work, I conducted empirical res...
متن کاملA Model for Customer Complaint Management
Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org/about/terms.html. JSTOR's Terms and Conditions of Use provides, in part, that unless you have obtained prior permission, you may not download an entire issue of a journal or multiple copies of articles, and you may use content in the JSTOR archive only for your perso...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Engineering & Technology
سال: 2018
ISSN: 2227-524X
DOI: 10.14419/ijet.v7i4.5.20192