Abstract The paper describes the usage of self-learning Hierarchical LSTM technique for classifying hatred and trolling contents in social media code-mixed data. LSTM-based learning is a novel architecture inspired from neural models. proposed HLSTM model trained to identify words available contents. systems equipped with predicting mechanism annotating transliteration domain. Hindi–English dat...

Social media platforms generate a huge amount of data every day. However, liberty speech through these networks could easily help in spreading hatred. Hate is severe concern endangering the cohesion and structure civil societies. With increase hate sarcasm among people who contact others over internet this era, there dire need for utilizing artificial intelligence (AI) technology innovation tha...

In the present study, two literary topics of love are introduced and its historical development is traced from classical tradition to modern culture. Also being studied Eugene O'Neill's American tragedy, Electra Is Good for Mourning (1931). These consist 'love hate' 'jealousy in love'. It argued that both comprise four stages, originate ancient Greek Roman literature evolve into culture, as wor...