![]() One list is to store the words in our data and another one is to store the data. #Kaggle competition spelling corrector install#!pip install gensim=4.0.1Īfter we have imported the libraries, we proceed to read the data. The code block given below contains the required imports and libraries to build the spelling checker. Once you have downloaded the data, we proceed by doing the necessary imports. You can download and use the data by clicking the link given here. The data we will be working with is taken from this Kaggle competition. You can read more about the dataset by clicking the link –. The data we will be using is a dataset from Kaggle. ![]() Keeping the above points in mind, we will create a spelling checker that uses the fastText technology. On the other hand, if your text is full of spelling errors, people will perceive you as less professional. If what you type and send is spelling free it will appear to be more professional and people will respect that. When your text is spelling free it looks more professional and better.Again if we change one word the whole meaning changes. Let’s take another sentence, “I love you too”.I we just change one letter in the sentence, the meaning changes to “I fell good today”. Take the examples of the sentence “I feel good today”.Even just a small error in a sentence could change the meaning of it unkowingly. When you sent a text or mail and it contains many typing errors, it may actually change the meaning of what you are trying to say. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |