Optimization Of Cross Domain Sentiment Analysis Using Sentiwordnet
The task of sentiment analysis of reviews is carried out using manually built / automatically generated lexicon resources of their own with which terms are matched with lexicon to compute the term count for positive and negative polarity. On the other hand the Sentiwordnet, which is quite different from other lexicon resources that gives scores (weights) of the positive and negative polarity for each word. The polarity of a word namely positive, negative and neutral have the score ranging between 0 to 1 indicates the strength/weight of the word with that sentiment orientation. In this paper, we show that using the Sentiwordnet, how we could enhance the performance of the classification at both sentence and document level.
Code (0)
등록된 구현이 없습니다.
Tasks
General ClassificationSentenceSentiment AnalysisSimilar Papers 제목 키워드 기반
Expanding Vietnamese SentiWordNet to Improve Performance of Vietnamese Sentiment Analysis Models
Sentiment analysis is one of the most crucial tasks in Natural Language Processing (NLP), involving the training of machine learning models to classify text based on the polarity of opinions. Pre-trained Language Models …
Sentiment AnalysisSentiment ClassificationVietnamese Sentiment AnalysisBuilding a SentiWordNet for Odia
As a discipline of Natural Language Processing, Sentiment Analysis is used to extract and analyze subjective information present in natural language data. The task of Sentiment Analysis has acquired wide commercial uses …
Machine TranslationSentiment AnalysisTranslationWord AlignmentSentiment Analysis: How to Derive Prior Polarities from SentiWordNet
Assigning a positive or negative score to a word out of context (i.e. a word's prior polarity) is a challenging task for sentiment analysis. In the literature, various approaches based on SentiWordNet have been proposed.…
General ClassificationSentiment AnalysisJU_KS@SAIL_CodeMixed-2017: Sentiment Analysis for Indian Code Mixed Social Media Texts
This paper reports about our work in the NLP Tool Contest @ICON-2017, shared task on Sentiment Analysis for Indian Languages (SAIL) (code mixed). To implement our system, we have used a machine learning algo-rithm called…
PositionSentiment AnalysisA SentiWordNet Strategy for Curriculum Learning in Sentiment Analysis
Curriculum Learning (CL) is the idea that learning on a training set sequenced or ordered in a manner where samples range from easy to difficult, results in an increment in performance over otherwise random ordering. The…
Sentiment Analysis