In view of prevailing uncertainties, it is apposite to maintain the neutral I, therefore, vote for an increase in the policy repo rate by 25 basis points. Inflation risks have increased since the April policy. > 7.4 per cent, same as in the April policy. On the whole, however, economic activity continues to be resilient with GDP growth for 2018-19 projected at The recent increase in oil prices, by impacting disposable incomes, may have some adverse impact on private consumption. The services sector has been resilient with several high frequency indicators continuing to show robust growth in recent months even as PMI services moved slightly into contraction in May. > in an increase in capacity utilisation.
There has also been a pick-up in manufacturing and this is manifested Investment activity, in particular, has accelerated. Domestic growth has strengthened with the Q4:2017-18 print at a seven-quarter high and now appears to be on a sustainable path.
However, a normal monsoon, by keeping food inflation benign, could act as a mitigating factor. > count of the staggered impact of HRA revisions by various state governments, though the direct statistical impact of HRA revisions will be looked through. The baseline inflation path faces several uncertainties, viz., (i) the outlook for oil prices (ii) continuing volatility in global financial markets (iii) the risk of the significant r > 4.7 percent) is 30 bps higher than that in the April resolution. Two developments are noteworthy from the standpoint of price stability. On the whole, 11 inflation in March and April has behaved more or less on the lines of the path projected in the April resolution. Label def _nameofmember 6 "The Governor", modify Label def _nameofmember 5 "Resolution Statement", modify Input float date long(nameofmember cleanedtext) I have attached a sample of the dataset using dataex Moreover, should I convert the similar text data so that I get few numeric values?
#Cosine similarity calculator how to#
I have never calculated cosine similarity so I do not know how to calculate it for the Resolution and Governor. However, I do not know how to use them as these statements are super lengthy. In the dataset, I have long text statements which I have converted to numeric into using encode.