-22b9b34417bc6092a743d70 20220211050104364 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 06 30 2021 10 8 Student, Department of Computer Science and Engineering, Shri Dharmasthala Manjunatheshwara College of Engineering and Technology, Dharwad (Karnataka), India. Ravi Chandra Basavaraj Vaddatti Assistant Professor, Department of Computer Science and Engineering, Shri Dharmasthala Manjunatheshwara College of Engineering and Technology, Dharwad (Karnataka), India. People’s attitudes, opinions, feelings and sentiments which are usually expressed in the written languages are studied by using a well known concept called the sentiment analysis. The emotions are expressed at various different levels like document, sentence and phrase level are studied by using the sentiment analysis approach. The sentiment analysis combined with the Deep learning methodologies achieves the greater classification in a larger dataset. The proposed approach and methods are Sentiment Analysis and deep belief networks, these are used to process the user reviews and to give rise to a possible classification for recommendations system for the user. The user assessment classification can be progressed by applying noise reduction or pre-processing to the system dataset. Further by the input nodes the system uses an exploration of user’s sentiments to build a feature vector. Finally, the data learning is achieved for the suggestions; by using deep belief network. The prototypical achieves superior precision and accuracy when compared with the LSTM and SVM algorithms. 06 30 2021 87 91 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H9233.0610821 https://www.ijitee.org/portfolio-item/H92330610821/ Department of Electronic Engineering, Engineering and Technology, Jamia Millia Islamia, New Delhi, India. Anisur Rehman Nasir S. N. Ahmad Department of Electronics & Communication Engineering, Engineering, Engineering and Technology, Jamia Millia Islamia, New Delhi, India. A novel current-mode multifunction inverse filter configuration using single current feedback amplifier (CFA) is presented. The proposed filter employs only one CFA and few passive components. The proposed circuit realizes inverse lowpass, inverse bandpass and inverse highpass filter functions with proper admittances. The characteristics of proposed multifunction inverse filter configuration are- current-mode realization; use of only one CFA; use of grounded passive components except one virtually grounded and realizing all three basic inverse filters. The proposed current-mode inverse filter circuit has been tested by TINA PRO simulation program and results justified the theoretical analysis. 06 30 2021 64 67 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H9235.0610821 https://www.ijitee.org/portfolio-item/H92350610821/