The paper considers mining and analyzing data generated by Twitter social network, regarding content classification, language determination and sentiment ...
Apr 10, 2014 · In order to overcome this problem, we introduce a method to normalize non-standard words in online social network services particularly for ...
Jun 19, 2014 · We analyzed more than fifty million tweets which was collected by Stanford University and normalized non-standard words into standard English ...
This paper addresses a method for normalizing non-standard words in OSNSs, particularly for Twitter text data and analyzed more than fifty million tweets ...
A Method for Normalizing Non-standard Words in Online Social Network Services: A Case Study on Twitter. https://doi.org/10.1007/978-3-319-14227-2_35.
We analyzed more than fifty million tweets which was collected by Stanford University and normalized non-standard words into standard English words by using ...
Dongjin Choi, Jeongin Kim, Pankoo Kim: A Method for Normalizing Non-standard Words in Online Social Network Services: A Case Study on Twitter.
Nov 5, 2021 · The study examined social media users' reasons for using non-standard words in Twitter. Structured interviews were conducted with 30 active ...
Missing: Normalizing | Show results with:Normalizing
Mar 21, 2024 · This study developed an improved model for normalizing OOV words with repeated letters by replacing them with correct in-vocabulary (IV) replacement words.
Therefore, normalization is needed to make the unstructured sentences can be more un derstandable by a machine. In 2001, normalization for non-standard words ...