47 resultados para Lexicons


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Tweet sentiment analysis is an important research topic. An accurate and timely analysis report could give good indications on the general public's opinions. After reviewing the current research, we identify the need of effective and efficient methods to conduct tweet sentiment analysis. This paper aims to achieve a high level of performance for classifying tweets with sentiment information. We propose a feasible solution which improves the level of accuracy with good time efficiency. Specifically, we develop a novel feature combination scheme which utilizes the sentiment lexicons and the extracted tweet unigrams of high information gain. We evaluate the performance of six popular machine learning classifiers among which the Naive Bayes Multinomial (NBM) classifier achieves the accuracy rate of 84.60% and takes a few minutes to complete classifying thousands of tweets.

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Relationships between girls and women have typically been explored through the lexicon of ‘friendship’ or, where there is a presence of sexual desire, ‘lesbian’. This article suggests the complexity and impact of female (same-sex) sociality, and its relationship to heteronormativity and power dynamics between girls and women runs deeper than the terms ‘friendship’ or ‘lesbian’ give rise to. Exploring social and power dynamics amongst girls and women, this article explores how gender is policed and negotiated within a framework of homosociality. Drawing on empirical research within a women's Australian Rules football team, I explore the complexity of female same-sex bonds, the negotiation of gender embodiment and performance within female homosocial spaces, and the emergence of women's own lexicons in making sense of their relationships with other women in this particular social sphere, further considering how this might be applied to other female homosocial spaces, including same-sex educational and sporting sites.