Stop words : NLP

𝕊𝕥𝕠𝕡 𝕎𝕠𝕣𝕕𝕤 refer to those sets of words that are used in everyday language. Stop words in English comprises of "a", "an", "the", "is", "are", etc. Stop words are used in the field of Natural language processing to eliminate those words that are most commonly used and they alone, do not provide any contextual information.

This process is referred to as the 𝒑𝒓𝒆-𝒑𝒓𝒐𝒄𝒆𝒔𝒔𝒊𝒏𝒈 of the data. 𝑰𝒔 𝒓𝒆𝒎𝒐𝒗𝒂𝒍 𝒐𝒇 𝒔𝒕𝒐𝒑 𝒘𝒐𝒓𝒅𝒔 𝒏𝒆𝒆𝒅𝒆𝒅 ? Yes, the removal of stop words would be necessary as the lower-level information of the text is removed which tends to bring more focus to the important information. Dataset size decreases and hence the time taken for data training is also low. It improves the performance and accuracy of the whole system. 𝑴𝒖𝒍𝒕𝒊-𝒍𝒊𝒏𝒈𝒖𝒂𝒍 𝒔𝒕𝒐𝒑 𝒘𝒐𝒓𝒅𝒔 𝒓𝒆𝒎𝒐𝒗𝒂𝒍 Stop words can be removed for better text classification which is a part of the text pre-processing. It can help in faster and relevant retrieval of data. Stop words can be removed in different languages using a certain specific library for that particular language.