Classifying Tweets with Keras and TensorFlow using RNN (Bi-LSTM)

Understanding public opinion, sentiment analysis, and subject recognition have all become more and more important as social media platforms have grown exponentially. The methodology for categorizing tweets using Keras and TensorFlow with a Recurrent Neural Network (RNN) architecture, specifically Long Short-Term Memory (LSTM) units, is presented in this research article. The method uses word embeddings and other properties to improve tweet representation, allowing the model to reliably identify specified categories and capture contextual connections. Our RNN-LSTM model beats baseline methods after extensive testing and evaluation, proving its suitability for tweet classification applications. The model's comprehension of tweet content is further improved by the incorporation of pre-trained word embeddings as well as features like emotion scores and hashtags. The approach offers a thorough framework for using deep learning methods in tweet classification, opening the door for uses cases including sentiment analysis, topic recognition, and opinion mining. By providing knowledge on the possibilities of RNN-LSTM models and their use in comprehending and analysing social media data, this research makes a contribution to the area. The results emphasise how crucial it is to take temporal dynamics and contextual factors into account while handling tweet classification jobs. Future research may concentrate on researching other pre-trained embeddings, investigating advanced RNN architectures, and solving issues with noisy and biassed twitter data. Overall, the large volume of information published on social networking sites like Twitter may now be better understood and analysed thanks to this research. &nbsp

Relationship between Emotional Intelligence and Entrepreneurship

Emotional intelligence is defined to guide behavior, thoughts, effective communicating with family and within organizations. The present study aims to investigate the relationship between emotional intelligence and entrepreneurship. Survey method has been conducted for data collection. The study has selected a sample of 300 people. The study uses two questionnaires, one for emotional intelligence based on Bar-On questionnaire and the other for entrepreneurship,. Reliability for Emotional Intelligence Questionnaire was calculated 0.85 by Cronbach's alpha and for entrepreneurship was 0.81. Data analysis was performed by using SPSS software and the results showed that there was a meaningful and positive relationship between entrepreneurship and all five dimensions of emotional intelligence, including intrapersonal, interpersonal, mood, impulse control and compatibility

Tail risk and its implications on the Norwegian equity market

Masteroppgave i bedriftsøkonomi - Nord universitet, 201

Tails of returns’ distribution and expected returns : An empirical study

Doctoral thesis (PhD) - Nord University, 2023publishedVersio

Mycoviruses infecting the forest pathogen Heterobasidion annosum : Mutual interactions and host reactions

The fungal species complex Heterobasidion annosum sensu lato (s.l.) is considered one of the most devastating conifer pathogens in the boreal forest region. They affect European coniferous forests with root and butt rot, causing annual economic losses of €800 million. Despite several efforts in practical forestry to control the disease, the economic loss remains considerable. Therefore, it is still necessary to introduce alternate control measures for Heterobasidion infection. Heterobasidion spp. are infected by a diverse community of mycoviruses, mostly partitiviruses. Here, these viruses were studied to find potential viruses for biocontrol purposes. We described six novel Heterobasidion partitivirus (HetPV) species phylogenetically related to Helicobasidium mompa partitivirus V70 that infect four pathogenic Heterobasidion species. Interestingly, our study revealed that HetPV13-an1 causes severe phenotypic debilitation in its native and exotic fungal host. The RNA sequencing of isogenic virus infected and cured fungal strains showed that HetPV13-an1 affected the transcription of 683 genes. The RT-qPCR analysis showed that the response toward HetPV13-an1 infection varied between H. annosum and H. parviporum. Moreover, the wood colonization efficacy of H. parviporum infected by HetPV13-an1 was restricted in living Norway spruce trees. The ratio of polymerase and coat protein genome segments/transcripts of eight partitiviruses analysed was highly variable in mycelia. All the virus species had unique ratios of the genome segments, which were stable over different temperatures and hosts. The co-infection with HetPV13-an1 and HetPV15-pa1 reduced host growth up to 95%. Regarding the transmission efficacy of mycoviruses, HetPV15-pa1 transmission to a pre-infected host was elevated from zero to 50% by the presence of HetPV13-an1, and a double infection of these viruses in the donor resulted in an overall transmission rate of 90%. Altogether, the study demonstrated that the interplay between co-infecting viruses and their host is highly complex and that partitiviruses show potential for biocontrol

An Electromagnetics Water Flooding System With Nanofluid For EOR

The major challenge for oil industry is to increase the recovery of oil from the reservoir. EOR by nanofluids induction has been used in water flooding process. This work deals with a new electromagnetics water flooding system using nanofluid for EOR. A simulation on the density of state (DOS) and band structure of zinc oxide (ZnO) and iron oxide (Fe2O3) was carried out; it was observed that the band gap value for ZnO is 0.808ev and for Fe2O3 is 0.201ev. The percentage difference between the band gap of ZnO and Fe2O3 is 301%. For ZnO, Zn 4s state contributes to conduction band and O 2p state contributes to valence band. For Fe2O3 valence band is a mixture of O 2p state and the majority is Fe 3d state, while the conduction band consists of Fe 3d state. As Fe2O3 has lowest band gap, its dielectric constant is greater than ZnO which has the highest band gap, thus it has the lowest dielectric constan

Mycoviruses infecting the forest pathogen Heterobasidion annosum : Mutual interactions and host reactions

The fungal species complex Heterobasidion annosum sensu lato (s.l.) is considered one of the most devastating conifer pathogens in the boreal forest region. They affect European coniferous forests with root and butt rot, causing annual economic losses of €800 million. Despite several efforts in practical forestry to control the disease, the economic loss remains considerable. Therefore, it is still necessary to introduce alternate control measures for Heterobasidion infection. Heterobasidion spp. are infected by a diverse community of mycoviruses, mostly partitiviruses. Here, these viruses were studied to find potential viruses for biocontrol purposes. We described six novel Heterobasidion partitivirus (HetPV) species phylogenetically related to Helicobasidium mompa partitivirus V70 that infect four pathogenic Heterobasidion species. Interestingly, our study revealed that HetPV13-an1 causes severe phenotypic debilitation in its native and exotic fungal host. The RNA sequencing of isogenic virus infected and cured fungal strains showed that HetPV13-an1 affected the transcription of 683 genes. The RT-qPCR analysis showed that the response toward HetPV13-an1 infection varied between H. annosum and H. parviporum. Moreover, the wood colonization efficacy of H. parviporum infected by HetPV13-an1 was restricted in living Norway spruce trees. The ratio of polymerase and coat protein genome segments/transcripts of eight partitiviruses analysed was highly variable in mycelia. All the virus species had unique ratios of the genome segments, which were stable over different temperatures and hosts. The co-infection with HetPV13-an1 and HetPV15-pa1 reduced host growth up to 95%. Regarding the transmission efficacy of mycoviruses, HetPV15-pa1 transmission to a pre-infected host was elevated from zero to 50% by the presence of HetPV13-an1, and a double infection of these viruses in the donor resulted in an overall transmission rate of 90%. Altogether, the study demonstrated that the interplay between co-infecting viruses and their host is highly complex and that partitiviruses show potential for biocontrol

The price puzzle and monetary policy transmission mechanism in Pakistan: Structural vector autoregressive approach

This paper address the issue of monetary policy effectiveness and the price puzzle, a positive response of prices to monetary tightening, in Pakistan. Study examines the effects of monetary policy shock on price level and other macroeconomic variables such as output, exchange rate and money supply within the structural VAR framework over the period 1992: M1 to 2010:M08. We find that a contractionary monetary policy shock has a positive effect on prices and the output increase over some horizon following the monetary tightening but continuously falls after initial rise. The results also indicate that monetary contractions in Pakistan over period reviewed associated with persistent depreciation of domestic currency value relative to the U.S. dollar.Monetary policy, Price puzzle, Structural VAR, Pakistan

Impact of Devaluation on Trade Balance in Pakistan

The purpose of this paper is to find the impact of devaluation on trade balance in Pakistan in both long and short run using bound testing approach to Cointegration and Error Correction Mechanism (ECM). The result shows that devaluation is effective in improving trade balance and there is a cointegrated relationship between the real effective exchange rate and trade balance in the long run.