Exploring sentiment analysis on twitter data

Venugopalan, Manju; Gupta, Deepa

doi:10.1109/ic3.2015.7346686

Cited by 57 publications

(18 citation statements)

References 7 publications

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“…The advances in sentiment analysis motivates researchers to explore the possibility of a hybrid approach that provides the accuracy of machine learning based approach and speed of lexicon-based approach. Venugopalan et al [8] explores sentiment analysis on twitter data by working on sequence of steps, first step is to retrieve data through Twitter API followed by data pre-processing steps that include Text Extraction, Spell-Checker, Slang replacement, and Link removal. They created labelled data to differentiate subjective and objective tweets, feature extraction is done by unigrams, then subjective and objective classification is performed.…”

Section: Hybrid Approachmentioning

confidence: 99%

“…In hybrid approach, first data pre-processing [13,18] is performed, then feature and opinion words are extracted, the extracted opinion words are then labelled as positive and negative with the help of Lexicon approach [15]. The labelled data is then used as training data for SVM classifier [1,8,15,19]. This proposed scheme includes the main steps that must be performed for carrying out the sentiment classifications as shown in Figure 2.…”

Section: Proposed Schemementioning

confidence: 99%

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Sentiment Analysis of Amazon Canon Camera Review using Hybrid Method

Chhabra¹,

Prajapati²

2018

IJCA

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Sentiment Analysis or Opinion Mining is a new developing research field that has opened new challenges for researchers to be answered. Sentiment analysis or Opinion mining is a very important field in finding the correct sentiment of customer product review, election result analysis, summarization of news articles. Sentiment analysis has opened a new door in different domains like financial, telecommunication, business, medical, social events, and eshopping. In this paper, a hybrid sentiment analysis approach is proposed to analyze "Amazon" Canon camera reviews and classify them into positive and negative polarity classes which is useful for other customers and organizations to take future decisions. The results of hybrid approach show improvement in accuracy, and also in precision and recall measures.

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Section: Hybrid Approachmentioning

confidence: 99%

Section: Proposed Schemementioning

confidence: 99%

Sentiment Analysis of Amazon Canon Camera Review using Hybrid Method

Chhabra¹,

Prajapati²

2018

IJCA

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“…Sentiment analysis can be categorized under 3 levels namely sentence level, aspect level and document level. As the platform of twitter uses tweets to denote opinions in sentence form the senetence level analysis of sentiment used for examining sentiments [1]. Sentiment analysis utilizes the NLP (natural language processing) computational techniques and text analysis to operate the classification or extraction of sentiment from the reviews of sentiment.…”

Section: Introductionmentioning

confidence: 99%

A comparative review of the challenges encountered in sentiment analysis of Indian regional language tweets vs English language tweets

Soman¹,

Swaminathan²,

Anandan³

et al. 2018

IJET

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With the developed use of online medium these days for sharing views, sentiments and opinions about products, services, organization and people, micro blogging and social networking sites are acquiring a huge popularity. One of the biggest social media sites namely Twitter is used by several people to share their life events, views and opinion about different areas and concepts. Sentiment analysis is the computational research of reviews, opinions, attitudes, views and peoples' emotions about different products, services, firms and topics through categorizing them as negative and positive emotions. Sentiment analysis of tweets is a challenging task. This paper makes a critical review on the comparison of the challenges associated with sentiment analysis of Tweets in English Language versus Indian Regional Languages. Five Indian languages namely Tamil, Malayalam, Telugu, Hindi and Bengali have been considered in this research and several challenges associated with the analysis of Twitter sentiments in those languages have been identified and conceptualized in the form of a framework in this research through systematic review.

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“…Regarding the machine learning approach, authors use classification algorithms such as Support Vector Machines (SVM) [7][8][9][10][11], Bayesian Networks (BayesNet) [12], and decision trees (J48) [10], among others. For this technique, two data sets are necessary, a training set and an evaluation set.…”

Section: Related Workmentioning

confidence: 99%

Sentiment Analysis in Spanish for Improvement of Products and Services: A Deep Learning Approach

Paredes-Valverde

Colomo‐Palacios

Salas-Zárate

et al. 2017

Scientific Programming

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Sentiment analysis is an important area that allows knowing public opinion of the users about several aspects. This information helps organizations to know customer satisfaction. Social networks such as Twitter are important information channels because information in real time can be obtained and processed from them. In this sense, we propose a deep-learning-based approach that allows companies and organizations to detect opportunities for improving the quality of their products or services through sentiment analysis. This approach is based on convolutional neural network (CNN) and word2vec. To determine the effectiveness of this approach for classifying tweets, we conducted experiments with different sizes of a Twitter corpus composed of 100000 tweets. We obtained encouraging results with a precision of 88.7%, a recall of 88.7%, and an -measure of 88.7% considering the complete dataset.

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Exploring sentiment analysis on twitter data

Cited by 57 publications

References 7 publications

Sentiment Analysis of Amazon Canon Camera Review using Hybrid Method

Sentiment Analysis of Amazon Canon Camera Review using Hybrid Method

A comparative review of the challenges encountered in sentiment analysis of Indian regional language tweets vs English language tweets

Sentiment Analysis in Spanish for Improvement of Products and Services: A Deep Learning Approach

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