Context aware semantic adaptation network for cross domain implicit sentiment classification

Cross-domain sentiment classification could be attributed to two steps. The first step is used to extract the text representation, and the other is to reduce domain discrepancy. Existing methods mostly focus on learning the domain-invariant information, rarely consider using the domain-specific semantic information, which could help cross-domain sentiment classification; traditional adversarial-based models merely focus on aligning the global distribution ignore maximizing the class-specific decision boundaries. To solve these problems, we propose a context-aware semantic adaptation (CASA) network for cross-domain implicit sentiment classification (ISC). CASA can provide more semantic relationships and an accurate understanding of the emotion-changing process for ISC tasks lacking explicit emotion words. (1) To obtain inter- and intrasentence semantic associations, our model builds a context-aware heterogeneous graph (CAHG), which can aggregate the intrasentence dependency information and the intersentence node interaction information, followed by an attention mechanism that remains high-level domain-specific features. (2) Moreover, we conduct a new multigrain discriminator (MGD) to effectively reduce the interdomain distribution discrepancy and improve intradomain class discrimination. Experimental results demonstrate the effectiveness of different modules compared with existing models on the Chinese implicit emotion dataset and four public explicit datasets.

On the Value of Sentinel-1 InSAR Coherence Time-Series for Vegetation Classification

Synthetic aperture radar (SAR) acquisitions are mainly deemed suitable for mapping dynamic land-cover and land-use scenarios due to their timeliness and reliability. This particularly applies to Sentinel-1 imagery. Nevertheless, the accurate mapping of regions characterized by a mixture of crops and grasses can still represent a challenge. Radar time-series have to date mainly been exploited through backscatter intensities, whereas only fewer contributions have focused on analyzing the potential of interferometric information, intuitively enhanced by the short revisit. In this paper, we evaluate, as primary objective, the added value of short-temporal baseline coherences over a complex agricultural area in the São Paulo state, cultivated with heterogeneously (asynchronously) managed annual crops, grasses for pasture and sugarcane plantations. We also investigated the sensitivity of the radar information to the classification methods as well as to the data preparation and sampling practices. Two supervised machine learning methods—namely support vector machine (SVM) and random forest (RF)—were applied to the Sentinel-1 time-series at the pixel and field levels. The results highlight that an improvement of 10 percentage points (p.p.) in the classification accuracy can be achieved by using the coherence in addition to the backscatter intensity and by combining co-polarized (VV) and cross-polarized (VH) information. It is shown that the largest contribution in class discrimination is brought during winter, when dry vegetation and bare soils can be expected. One of the added values of coherence was indeed identified in the enhanced sensitivity to harvest events in a small but significant number of cases.

YOUSUF HASSAN KI GHAZAL MEIN TABQATI AUR SMAJI SHAOOR

One of the striking and significant name of Ghazal poetry during the decade of seventies was Yousaf Hassan. He chose capitalistic mindset and social discrimination in Pakistani society as a permanent subject of his Ghazal. His poetry offers a critique of the materialization of social relations. He aims to posit mutual compassionate empathy and high humanistic values as the characteristic features of an individual. His poetic work Aye Dil Aye Darya comprises of remarkable verses which represent the perception about social as well as class discrimination. The striking feature of this representation is the portrayal of classical as well as traditional metaphors in a progressive context.

U-2 YOUSUF HASSAN KI GHAZAL MEIN TABQATI AUR SMAJI SHAOOR

One of the striking and significant name of Ghazal poetry during the decade of seventies was Yousaf Hassan. He chose capitalistic mindset and social discrimination in Pakistani society as a permanent subject of his Ghazal. His poetry offers a critique of the materialization of social relations. He aims to posit mutual compassionate empathy and high humanistic values as the characteristic features of an individual. His poetic work Aye Dil Aye Darya comprises of remarkable verses which represent the perception about social as well as class discrimination. The striking feature of this representation is the portrayal of classical as well as traditional metaphors in a progressive context.

culture of patriarchy, gender bias, and class discrimination in Mahesh Dattani’s Tara

This research paper, which makes use of Mahesh Dattani's play Tara (1990), emphasises the concept of social issues such as gender inequalities, suffering, and depression, which are experienced by both men and women in equal measure. Gender discrimination, injustice done solely on the basis of gender, and preference for male children in Indian homes are all issues that are the focus of this research. Tara, Dattani's other play, addresses the issue of gender discrimination. The play addresses the emotional and physical separation of conjoined twins. It exemplifies the society's ingrained patriarchal system. Women act as a key in patriarchy's hands, ensuring the survival of patriarchal values. The purpose of this article is to discuss and analyse the play's issue of female marginalisation. Chandan, a boy child, is preferred to Tara, a girl child, in an Indian family. Despite the fact that she is Tara's mother, Bharati wrecks her daughter's life and ultimately suffers as a result of her harsh behaviour. Dr. Thakkar makes an error in his capacity as a scientist and a technophile. Bharati and her father bribed him with a piece of land in exchange for Tara’s death.

FEMALE HIP HOP ACTIVIST. AN INTERSECTIONAL CROSSROAD

With the demise of twentieth-century social classes, the intersec-tion of gender, race and class no longer seems to constitute a para-digm, but rather a construct with a variable structure in which, from time to time, one of the three constituent elements emerges as the driving force. This also has repercussions inthe field of art and cul-ture. In the context of Hip Hop, for example, African American female rappers propose a female image in which the vindication of one’s blackness is accompanied by an awareness of the fluidity of sexual identity and the need to break certain stereotypes for which political commitment must necessarily coincide with “sobriety” of behavior. Intheir video clips there are frames that recall the Black Panthers or the Black Lives Matter movement, one can fight against racial and class discrimination without renouncing a politics of de-sire, which opens up interesting educational reflections.

Class Consciousness and Socio-Economical Conflict: A Cogitation of Katherine Mansfield’s “The Doll’s House”

“Class Consciousness and Socio-Economical Conflict: A Cognition of Katherine Mansfield’s “The Doll’s House”” is an attempt to explore class consciousness and socio-economical conflict and prejudice insinuated in Mansfield’s short story, “The Doll’s Hose”. Mansfield lived between 14th October 1888 and 9th January 1923 in New Zealand and is New Zealand’s famous writer. The present research paper investigates the notion of class conflict and class prejudice seen Mansfield’s society through the socio-economic status of the Kelveys and Burnells. The Kelveys are portrayed as underprivileged and the Burnells are depicted as socially and economically affluent. The social hierarchal structure dealt in the story renders a space to trace the conflicts existing between the classes. The present paper traces the distinct lines that is draw between these two classes. It analyses what made the young minds to prioritize class discrimination and what is the cause behind it. Besides, it ventures to discover the position of grownups in class discrimination and class conflict and their contribution to such social evils.

A Review of Disclosure Translation Showing Gender Discrimination and Social Class Discrimination in Novel "Girl from The Coast"

The aim of the study are to find Gender discrimination in Novel and acceptability quality of translation from Novel of the girls of the coast. We used methodology of research with descriptive qualitative. The results are 71,43% acceptability of translation quality with score 3 (high) and social discrimination in subordination 62,5%. The benefit of results are to develop literature of translation quality and analysis discrimination aspect in novel of the girls from the coast. The innovation of novelty are teory and guidance of translation in social and gender discrimination with quality translation.