Term weighting for feature extraction on Twitter: A comparison between BM25 and TF-IDF
AI Kadhim - … international conference on advanced science and …, 2019 - ieeexplore.ieee.org
Feature extraction is to transform a text document from any format into a list of features that
can be easily processed by text classification techniques. Feature extraction is one of …
can be easily processed by text classification techniques. Feature extraction is one of …
Temporal effects on hashtag reuse in twitter: A cognitive-inspired hashtag recommendation approach
Hashtags have become a powerful tool in social platforms such as Twitter to categorize and
search for content, and to spread short messages across members of the social network. In …
search for content, and to spread short messages across members of the social network. In …
Hashtag recommendation methods for twitter and sina weibo: a review
Hashtag recommendation suggests hashtags to users while they write microblogs in social
media platforms. Although researchers have investigated various methods and factors that …
media platforms. Although researchers have investigated various methods and factors that …
Hashtag recommendation for hyperlinked tweets
Presence of hyperlink in a tweet is a strong indication of tweet being more informative. In this
paper, we study the problem of hashtag recommendation for hyperlinked tweets (ie, tweets …
paper, we study the problem of hashtag recommendation for hyperlinked tweets (ie, tweets …
An uncertainty-aware approach for exploratory microblog retrieval
Although there has been a great deal of interest in analyzing customer opinions and
breaking news in microblogs, progress has been hampered by the lack of an effective …
breaking news in microblogs, progress has been hampered by the lack of an effective …
Hashtag recommendation for short social media texts using word-embeddings and external knowledge
With the rapid growth of Twitter in recent years, there has been a tremendous increase in the
number of tweets generated by users. Twitter allows users to make use of hashtags to …
number of tweets generated by users. Twitter allows users to make use of hashtags to …
A data-driven approach for Twitter hashtag recommendation
This paper addresses the hashtag recommendation problem using high average-utility
pattern mining. We introduce a novel framework called PM-HRec (Pattern Mining for …
pattern mining. We introduce a novel framework called PM-HRec (Pattern Mining for …
Emhash: Hashtag recommendation using neural network based on bert embedding
Social media like Twitter have become very popular in recent decades. Hashtags are new
kind of metadata which make non-structured tweets into searchable semistructured content …
kind of metadata which make non-structured tweets into searchable semistructured content …
Forecasting the Spread of Sustainability Movement: Computational Analysis on Social Media Messages Promoting Climate Actions
Growing concerns about climate change have led to sustainability campaigns via social
media. Few researchers have explored how public responses are influenced by social …
media. Few researchers have explored how public responses are influenced by social …
Recommender system using BERT sentiment analysis
H Park, K Kim - Journal of intelligence and information systems, 2021 - koreascience.kr
If it is difficult for us to make decisions, we ask for advice from friends or people around us.
When we decide to buy products online, we read anonymous reviews and buy them. With …
When we decide to buy products online, we read anonymous reviews and buy them. With …