Exploring Public Sentiment: A Sentiment Analysis of GST Discourse on Twitter using Supervised Machine Learning Classifiers

A key economic move that resulted in heated disputes was India's introduction of the Goods and Services Tax (GST). Social media channels offered a widely used forum for the people to express their views on the GST, providing insightful data for gauging mood and guiding next revisions. The emotion of 5629 GST-related tweets was assessed using the VADER lexicon after being obtained using the Twitter Developer API. The tf-idf feature was used for text vectorization, with 80% of the data going toward training and the remaining 20% going toward testing. In this study, six well-known classifiers—the Ridge Classifier, Logistic Regression, Linear SVC, Perceptron, Decision Tree, and K-Nearest Neighbor—were thoroughly compared to evaluate their performance in a range of circumstances. Accuracy, precision, recall, f-score, training, and testing times were all included in the performance measurements. The study presented novel pre-processing methods and examined the training/testing times before coming to the conclusion that the Ridge Classifier performed better than the others in terms of accuracy, precision, and efficiency. In this study, six well-known classifiers—the Ridge Classifier, Logistic Regression, Linear SVC, Perceptron, Decision Tree, and K-Nearest Neighbor—were thoroughly compared to evaluate their performance in a range of circumstances. Accuracy, precision, recall, f-score, training, and testing times were all included in the performance measurements. The study presented novel pre-processing methods and examined the training/testing times before coming to the conclusion that the Ridge Classifier performed better than the others in terms of accuracy, precision, and efficiency

Sentiment Classification Using a Sense Enriched Lexicon-based Approach

The prominent approach in sentiment polarity classification is the Lexicon-based approach which relies on a dictionary to assign a score to subjective words. Most of the existing work use score of the most dominant sense in this process instead of using the contextually appropriate sense. The use of Word Sense Disambiguation (WSD) is less investigated in the sentiment classification tasks. This paper investigates the effect of integrating WSD into a Lexicon-based approach for Sentiment Polarity classification and compares it with the existing Lexicon-based approaches and the state-of-art supervised approaches. The lexicon used in this work is SentiWordNet v2.0. The proposed approach, called Sense Enriched Lexicon-based Approach (SELSA), uses a word sense disambiguation module to identify the correct sense of subjective words. Instead of using the score of the most frequent sense, it uses the score of the contextually appropriate sense only. For the purpose of comparison with the supervised approaches, the authors investigate Naïve Bayes (NB) and Support Vector Machines (SVM) classifiers which tend to perform better in earlier research. The performance of these classifiers is evaluated using Word2vec, Hashing Vectorizer, and bi-gram feature. The best-performing classifier-feature combination is used for comparison. All the evaluations are done on the Movie Review dataset. SELSA achieves an accuracy of 96.25% which is significantly better than the accuracy obtained by SentiWordNet-based approach without WSD on the same dataset. The performance of the proposed algorithm is also compared with the best-performing supervised classifier investigated in this work and earlier reported works on the same dataset. The results reveal that the SVM classifier performs better than SentiWordNet approach without WSD. However, after incorporating WSD the performance of the proposed Lexicon-based approach is significantly improved and it surpasses the best-performing supervised classifier (SVM with bi-gram features)

Characterization of Mycobacterium tuberculosis Central Asian Strain1 using mycobacterial interspersed repetitive unit genotyping

<p>Abstract</p> <p>Background</p> <p>The Central Asian Strain1 (CAS1) genogroup of <it>Mycobacterium tuberculosis </it>(MTB) is the most prevalent in Pakistan, India and Bangladesh. Mycobacterial interspersed repetitive units variable number tandem repeat (MIRU-VNTR) typing is a reliable and reproducible method for differentiation of MTB isolates. However, information of its utility in determining the diversity of CAS1 strain is limited. We performed standard 12 loci based MIRU-VNTR typing on previously spoligotyped CAS1 strains and 'unique' strains in order to evaluate its discriminatory power for these isolates.</p> <p>Methods</p> <p>Twelve loci based MIRU- VNTR typing was used to type178 CAS1 and 189 'unique' MTB strains. The discriminatory index for each of the loci was calculated using the Hunter Gaston Discriminatory Index (HGDI). A subset of these strains (n = 78) were typed using IS<it>6110 </it>restriction fragment length polymorphism (RFLP). MIRU-VNTR profiles were studied together with their drug susceptibility patterns.</p> <p>Results</p> <p>A total of 349 MIRU patterns were obtained for the 367 strains tested. The CAS1 strains were subdivided into 160 distinct patterns; 15 clusters of 2 strains each, 1 cluster of four strains and 144 unique patterns. Using HGDI, seven MIRU loci, (numbers 26, 31, 27, 16, 10, 39, and 40) were found to be "highly discriminatory" (DI: ≥0.6), four MIRU loci (numbers 20, 24, 23, and 4) were "moderately discriminatory" (DI: 0.3–0.59), and one locus (number 2) was "poorly discriminatory" (DI< 0.3). Loci 26 and 31 were the most discriminatory for the CAS1 isolates. Amongst 'unique' strains in addition to loci 26, 31, 27, 16, 10, 39, and 40, locus 23 was highly discriminatory, while no locus was poorly discriminating. DI values for loci 4, 10 and 26 were significantly lower (P-value < .01) in CAS1 strains than in 'unique' strains. The association between CAS1 strains and MDR was not found to be significant (p value = 0.21).</p> <p>Conclusion</p> <p>We propose that MIRU typing could be used to estimate the phylogenetic relatedness amongst prevalent CAS1 strains, for which MIRU loci 26, 31, 16, 10, 27, 39 and 40 were found to be the most discriminatory.</p

Evaluation of various antibiotics used in the treatment of cellulitis at a tertiary care hospital

Background: Cellulitis is an inflammation of the skin and subcutaneous tissues, usually resulting from microbial invasion. It may occur as a result of tissue injury. The mainstay of treatment includes antibiotic therapy based on the susceptibility and severity of infection. The aim of the study is to evaluate various antibiotics used in the treatment of cellulitis at a tertiary care hospital.Methods: Participants were patients referred by Dermatologists, General surgeons with acute and complicated cellulitis. Demographic data, Clinical and biochemical data were analyzed at admission. Then the time taken for improvement of symptoms and length of stay were analyzed.Results: A total of 58 patients were included in the study of which 38(65.5%) patients were male and 20(34.4%) patients were female. Patients having comorbid conditions were found to be having higher length of stay (mean±SD-13.7±3.6 days), severity of infection and antibiotic therapy. Patients with diabetes(mean±SD-16.8±4days) have higher length of stay and slow wound healing. Patients with left leg cellulitis 32(55%) were higher than the right leg cellulitis 17(29%). The reason behind this remains undetermined, which highlights scope for future research in this region.Conclusions: Management of patients was done with mono or dual/combination antibiotic therapy or surgical treatment was done based on clinical response. According to our study patients with co-morbidities especially Diabetes have slow prognosis of cellulitis as they required longer length of stay in a hospital and prolonged treatment. Rational clinical decision on the use of various antibiotics shall be implemented based on evidence-based methods such as iv-to-po shift, regular evaluation of clinical response and stepping down to a narrow-spectrum to reduce the length of stay which can improve the paradigm and the positive clinical response for the management of cellulitis

Reverse-phase chromatographic determination and intrinsic stability behavior of 5-[(4-chlorophenoxy)methyl]-1,3,4-oxadiazole-2-thiol

The study describes the development and preliminary validation of a simple reverse phase chromatographic method for determination of a novel drug candidate, 5-[(4-chlorophenoxy)methyl]-1,3,4-oxadiazole-2-thiol (OXCPM), in bulk and stressed solution, in order to find out the intrinsic stability behavior of the compound. Isocratic elution was carried out at a flow rate of 1.0 mL min–1 through a Promosil C18 column maintained at 25 °C, using the mobile phase comprising acetonitrile and aqueous o-H3PO4 (pH 2.67) (1:1, V/V). Detection was performed at 258 nm. The response of the detector was linear in a concentration range of 1.25–50.00 µg mL–1 with the correlation coefficient of 0.9996 ± 0.0001. Cumulative intra-day, inter-day and inter-instrument accuracy (99.5 ± 1.0, 100.2 ± 1.0 and 100.3 ± 0.4 %, resp.) with RSD less than 5 % indicated that the method was accurate and precise. The resolution and selectivity factor (>2 and >1, resp.), particularly in copper metal- and dry-heat-stress solutions, depicted the selectivity of the method. OXCPM remained stable under hydrolytic (acidic and neutral pH, ≤ 37 °C), photolytic and moist heat stress conditions. Under alkaline conditions (hydrolytic and photolytic), polar products were formed and eluted very fast through the column (tR < 3.75 min). At room temperature, the compound was susceptible to oxidation by hydrogen peroxide and transition metals. The ionogram of most of the stress solutions indicated the presence of a product having m/z 256, which may be a result of N- or S- methylation or -SH oxidation. The results of the study indicate that the method is selective, sensitive and suitable to be used for determination of OXCPM in bulk and under stress conditions

4-Nitro-N′-[(E)-3-pyridylmethyl­idene]benzohydrazide

In the title moleclue, C13H10N4O3, the methyl­idene–hydrazide [–C(=O)—N—N=C–] fragment is essentially planar, with a maximum deviation of 0.0228 (7) Å. The mean planes of the benzene and pyridine rings make dihedral angles of 25.44 (6) and 5.47 (7)°, respectively, with the mean plane of the methyl­idene–hydrazide fragment. In the crystal structure, inter­molecular N—H⋯N hydrogen bonds link mol­ecules into chains along the b axis. Additional stabilization is provided by weak inter­molecular C—H⋯O hydrogen bonds. The O atoms of the nitro group are disordered over two sets of sites of equal occupancy

Time series analysis of electric energy consumption using autoregressive integrated moving average model and Holt Winters model

With the increasing demand of energy, the energy production is not that much sufficient and that’s why it has become an important issue to make accurate prediction of energy consumption for efficient management of energy. Hence appropriate demand side forecasting has a great economical worth. Objective of our paper is to render representations of a suitable time series forecasting model using autoregressive integrated moving average (ARIMA) and Holt Winters model for the energy consumption of Ohio/Kentucky and also predict the accuracy considering different periods (daily, weekly, monthly). We apply these two models and observe that Holt Winters model outperforms ARIMA model in each (daily, weekly and monthly observations) of the cases. We also make a comparison among few other existing analyses of time series forecasting and find out that the mean absolute percentage error (MASE) of Holt Winters model is least considering the monthly data

N′-[(E)-4-(Diethyl­amino)benzyl­idene]-4-nitro­benzohydrazide monohydrate

In the title compound, C18H20N4O3·H2O, the two aromatic rings are linked through a methyl­idenehydrazide fragment, which is fully extended with C—C—N—N, C—N—N=C and N—N=C—C torsion angles of 179.4 (2), 174.7 (2) and 178.3 (2)°, respectively. The dihedral angle between the two aromatic rings is 7.01 (8)°. In the crystal structure, the water of hydration is involved in extensive hydrogen bonding. Inter­molecular O—H⋯O, N—H⋯O and O—H⋯N hydrogen bonds link the components of the structure into a two-dimensional network and additional stabilization is provided by weak inter­molecular C—H⋯O hydrogen bonds

4-Nitro-N′-[(1E,2E)-3-phenyl­prop-2-en-1-yl­idene]benzohydrazide

In the title mol­ecule, C16H13N3O3, the benzene and phenyl rings are linked through a propenyl­idene hydrazide fragment, C—C(=O)—N(H)—N=C(H)—C(H)=C(H)—, which is fully extended with torsion angles in the range 175.4 (2)–179.9 (2)°. The dihedral angle between the the benzene and phenyl rings is 58.28 (7)°. In the crystal structure, inter­molecular N—H⋯O hydrogen bonds link the mol­ecules into chains along the b axis and additional stabilization is provided by weak inter­molecular C—H⋯O hydrogen bonds

N′-(3-Methoxy­benzyl­idene)-4-nitro­benzohydrazide monohydrate

There are two independent formula units in the asymmetric unit of the title compound, C15H13N3O4·H2O. The C=C—N—C torsion angle of the methyl­idenehydrazide group is 174.3 (2)° in one mol­ecule and 178.6 (2)° in the other. The dihedral angles between the two benzene rings in the two mol­ecules are 4.17 (12) and 3.58 (12)°. In the crystal structure, inter­molecular O—H⋯O, N—H⋯O and O—H⋯N hydrogen bonds link the components into a two-dimensional network and additional stabilization is provided by weak inter­molecular C—H⋯O hydrogen bonds