Nitin Solanki

A user tries to find out POS tags using Spacy but after running the script, it returns number instead of POS tags. How to fix that? Following is the script

The output here is the followingHere, in the script the issue is with the command for calling the proper tags. In this case word.pos is run which will return a number instead of tags. To get a proper tag, word.pos_ is used. For such implementation, it should look like

Data Science

Answered Nov 5, 2019 · 1.5K Views Read answer →

Explain stop words and its impact on model accuracy.

Words like ‘a’ and ‘the’ appear so frequently that they don’t require tagging as thoroughly as nouns, verbs and modifiers. These are known as stop words which are common words like articles, determiners etc. which can be filtered from the text to be processed. When too much of stop words are included in the final…

Data Science

Answered Nov 5, 2019 · 1.6K Views Read answer →

What are some of the retrieval approaches commonly used?

The most commonly used retrieval methods used are a)Boolean approaches It is again subdivided into three types i) Standard Boolean Approach ii) Smart Boolean Approach iii) Extended Boolean Approach b)Statistical Approach. It is again subdivided into three types. i) Vector space model &lt

Data Science

Answered Nov 5, 2019 · 1.5K Views Read answer →

A user wants to add text in the plot but it did not work out.How to fix that?

Below is the implementation POPULATION = c(0,7009,14019,21028,28037,35047,42056,49065,56074,63084,70093) INCOME = c(0,0,0,0,0,195680.26,550667.039999996,1034464.62,1821489.83,3360160.17999999,18979682.83) DF=data.frame(POPULATION,INCOME) library(ineq) G = round(ineq(DF$INCOME,type="Gini"),3)…

Data Science

Answered Nov 5, 2019 · 1.6K Views Read answer →

What are the critical assumptions of linear regression?

There were three major critical assumptions that had to be made in linear regression. And they are given as: It is vital to have a linear relationship among the independent and dependent. A scatter plot could be used for checking this fact. Scatter plot is a good way to determine relationships among continuous…

Data Science

Answered Nov 4, 2019 · 1.6K Views Read answer →

How is interpretation done in python?

Python is an interpreted language and it uses interpreted programs to convert source code (written by the programmer) into intermediate language and then converted to machine language. Python codes are written by programmers compiled into bytecode because bytecode is platform-independent and runs faster than our…

Data Science

Answered Nov 4, 2019 · 1.8K Views Read answer →

What can be challenging in POS tagging and how to overcome it?

POS tagging can be challenging when it comes to ambiguity. Ambiguity issue arises when a word has multiple meanings based on the text and different POS tags can be assigned to them. For such issues, POS taggers came with statistical approach where they calculate the probability of the word based on the context of the…

Data Science

Answered Nov 4, 2019 · 2.9K Views Read answer →

Explain explicit feedback.

This type of feedback is obtained based on relevance where assessors retrieve information from a query. The information of relevance feedback needs to be interpolated with the original query in order to improve retrieved information. They are analyzed based on binary or graded system where feedback are stored in…

Data Science

Answered Nov 4, 2019 · 1.6K Views Read answer →

What are the types of feedback required to improve a query?

Feedback from the user helps to improve a query by analyzing where the algorithm is failing to deliver a response as expected by a user. There are various types of feedback used in various situations a) Explicit feedback This feedback is based on two relevance systems. · Binary relevance system · Graded relevance…

Data Science

Answered Nov 4, 2019 · 1.6K Views Read answer →

Explain statistical model.

In this model, the algorithm works on the term frequency of the words used in query and based on that, it gives an output in an ordered sequence. They have different types but all of them use the same technique in order to return a query. Despite having disadvantages of their own, they represent some of the problems…

Data Science

Answered Nov 4, 2019 · 1.6K Views Read answer →

A user tried the following code for KNN and obtained 100

KNN does not produce wrong results all the time. It largely depends on the dataset. There might be two reasons for this error. The training data might be equal to the testing data so it is efficient in all cases. It might be an overfit case which means the mode is not able to capture randomness and hence is predicting…

Data Science

Answered Nov 4, 2019 · 1.6K Views Read answer →

What is the easiest way to assign names to a vector? Explain with an example

In R, names() function is used to assign names to each element in a vector. Let us assign a vector named temps which contains temperature of seven days. temps

Data Science

Answered Nov 3, 2019 · 1.6K Views Read answer →