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Found 14 papers, 1 papers with code
Replication of the Keyword Extraction part of the paper "'Without the Clutter of Unimportant Words': Descriptive Keyphrases for Text Visualization"
"Keyword Extraction" refers to the task of automatically identifying the most relevant and informative phrases in natural language text.
Identifying Usage Expression Sentences in Consumer Product Reviews
The system combines lexical, syntactic, and semantic features in a product-agnostic fashion to yield good classification performance.
Sentiment Analysis of Tweets in Three Indian Languages
In this paper, we describe the results of sentiment analysis on tweets in three Indian languages {--} Bengali, Hindi, and Tamil.
A Supervised Authorship Attribution Framework for Bengali Language
Authorship Attribution is a long-standing problem in Natural Language Processing.
A New Bengali Readability Score
In this paper we have proposed methods to analyze the readability of Bengali language texts.
PerSum: Novel Systems for Document Summarization in Persian
In this paper we explore the problem of document summarization in Persian language from two distinct angles.
SQUINKY! A Corpus of Sentence-level Formality, Informativeness, and Implicature
To date, our corpus is the largest sentence-level annotated corpus released for formality, informativeness, and implicature.
Inter-Rater Agreement Study on Readability Assessment in Bengali
An inter-rater agreement study is performed for readability assessment in Bengali.
Building a Dataset for Summarization and Keyword Extraction from Emails
This paper introduces a new email dataset, consisting of both single and thread emails, manually annotated with summaries and keywords.
Keyword and Keyphrase Extraction Using Centrality Measures on Collocation Networks
Keyword and keyphrase extraction is an important problem in natural language processing, with applications ranging from summarization to semantic search to document clustering.
Authorship Attribution Using Word Network Features
The goal of our paper is to explore properties of these complex networks that are suitable as features for machine-learning-based authorship attribution of documents.
Inter-rater Agreement on Sentence Formality
Formality is one of the most important dimensions of writing style variation.
