• XLNet

  • Referenced in 13 articles [sw31118]
  • including question answering, natural language inference, sentiment analysis, and document ranking...
  • tidytext

  • Referenced in 9 articles [sw19339]
  • Text mining for word processing and sentiment analysis using ’dplyr’, ’ggplot2’, and other tidy tools...
  • VADER

  • Referenced in 5 articles [sw39061]
  • Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text. The inherent nature ... serious challenges to practical applications of sentiment analysis. We present VADER, a simple rule-based ... model for general sentiment analysis, and compare its effectiveness to eleven typical state-of-practice ... lexical features (along with their associated sentiment intensity measures) which are specifically attuned to sentiment...
  • Sentilo

  • Referenced in 3 articles [sw26847]
  • Based Core Engine to Efficiently Perform Sentiment Analysis. In this paper we present a domain ... independent framework that creates a sentiment analysis model by mixing Semantic Web technologies with natural ... system, called Sentilo, provides a core sentiment analysis engine which fully exploits semantics. It identifies...
  • meanr

  • Referenced in 3 articles [sw33363]
  • package meanr: Sentiment Analysis Scorer. Sentiment analysis is a popular technique in text mining that ... implementation of a common method for computing sentiment, whereby words are scored as positive...
  • SentimentAnalysis

  • Referenced in 3 articles [sw33362]
  • package SentimentAnalysis: Dictionary-Based Sentiment Analysis. Performs a sentiment analysis of textual contents...
  • SentiBench

  • Referenced in 2 articles [sw39064]
  • comparison of state-of-the-practice sentiment analysis methods. In the last few years thousands ... scientific papers have investigated sentiment analysis, several startups that measure opinions on real data have ... thorough apple-to-apple comparison of sentiment analysis methods, as they are used in practice ... benchmark comparison of twenty-four popular sentiment analysis methods (which we call the state...
  • ALDONAr

  • Referenced in 2 articles [sw39062]
  • Solution for Sentence-Level Aspect Based Sentiment Analysis using a Lexicalized Domain Ontology ... Regularized Neural Attention Model. Aspect-based sentiment analysis allows one to compute the sentiment ... problem in this analysis is that words possibly carry different sentiments for different aspects. Moreover ... solution for sentence-level aspect-based sentiment analysis using A Lexicalized Domain Ontology...
  • cleanNLP

  • Referenced in 3 articles [sw19465]
  • tagging, named entity recognition, entity linking, sentiment analysis, dependency parsing, coreference resolution, and information extraction...
  • TopicRNN

  • Referenced in 3 articles [sw36211]
  • documents. We do this for sentiment analysis on the IMDB movie review dataset and report...
  • coreNLP

  • Referenced in 2 articles [sw19466]
  • named entity recognition, coreference detection and sentiment analysis...
  • PRSentiMiner

  • Referenced in 1 article [sw36835]
  • product review mining system for sentiment analysis of Chinese microblogging. For massive product reviews ... opinion aware framework -- PRSentiMiner -- to conduct sentiment analysis for product reviews in Chinese microblogging based ... product features, we also build the influence analysis method of microblogging text and quantitative computing ... microblogging text, and we finally construct the sentiment computing method of product reviews in Chinese...
  • SSentiA

  • Referenced in 1 article [sw39059]
  • both binary and 3-class sentiment analysis. By combining LRSentiA with an ML classifier ... both binary and 3-class sentiment analysis. The results suggest that in domains where annotated ... SSentiA can significantly improve the performance of sentiment classification. Moreover, we demonstrate that using...
  • pysentimiento

  • Referenced in 1 article [sw39092]
  • pysentimiento: A Python Toolkit for Sentiment Analysis and SocialNLP tasks. Extracting opinions from texts ... pysentimiento, a multilingual Python toolkit for Sentiment Analysis and other Social NLP tasks. This open...
  • sentiment

  • Referenced in 1 article [sw21194]
  • package with tools for sentiment analysis including bayesian classifiers for positivity/negativity and emotion classification...
  • TextBlob

  • Referenced in 1 article [sw37411]
  • speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more...
  • Pattern

  • Referenced in 1 article [sw08487]
  • language processing (tagger/chunker, n-gram search, sentiment analysis, WordNet), machine learning (vector space model...
  • mscstexta4r

  • Referenced in 1 article [sw15458]
  • Services Text Analytics REST API, including Sentiment Analysis, Topic Detection, Language Detection, and Key Phrase...
  • OurSpace

  • Referenced in 1 article [sw19227]
  • such as social networking, data mining, sentiment analysis and collaborative systems. This paper presents...
  • BERTje

  • Referenced in 1 article [sw37745]
  • entity recognition, semantic role labeling, and sentiment analysis). Our pre-trained Dutch BERT model...