Natural Language Processing (NLP) and especially natural language text analysis have seen great advances in recent times. Usage of deep learning in text processing has revolutionized the techniques for text processing and achieved remarkable results. Different deep learning architectures like CNN, LSTM, and very recent Transformer have been used to achieve state of the art results variety on NLP tasks. In this work, we survey a host of deep learning architectures for text classification tasks. The work is specifically concerned with the classification of Hindi text. The research in the classification of morphologically rich and low resource Hindi language written in Devanagari script has been limited due to the absence of large labeled corpus. In this work, we used translated versions of English data-sets to evaluate models based on CNN, LSTM and Attention. Multilingual pre-trained sentence embeddings based on BERT and LASER are also compared to evaluate their effectiveness for the Hindi language. The paper also serves as a tutorial for popular text classification techniques.

No abstract

No abstract

<p><strong>Background: </strong>The objective of this study is to compare the tomographic findings to the nasal endoscopy findings in patients with chronic sino-nasal diseases. This study aims to compare CT scan and DNE in sino-nasal diseases.</p><p class="abstract"><strong>Methods: </strong>50<strong> </strong>Patients attending ENT, OPD, BTGH with any sino-nasal complaints lasting for more than 4 weeks and not responding to medical line of management. Patients are selected by random sampling method. Patients were evaluated with CT scan and DNE.</p><p class="abstract"><strong>Results:</strong> The most common co-morbidity found among the patients is chronic rhino sinusitis in 31 cases (62%). Middle meatal purulent secretions are the most obvious finding in DNE evaluation seen in 31 (62%) cases. Anterior ethmoidal sinus haziness is seen in 37 (74%) cases on CT scan with majority of cases showing associated sinus involvement.</p><p class="abstract"><strong>Conclusions:</strong> Thereby indicating that in all patients with sino nasal diseases both CT scan and DNE has to be done, to know the exact pathology and to plan for further management. Both CT scan and DNE are complimentary to each other.</p>